bluuebunny/crossref_metadata_2025_split huggingface dataset:
Meta-analysis of Lung Cancer Patients in COVID-19
Authors: Pandey Ramendra Pati , Ghouse Peer Gajala Deethamvali 
Published: August 2022

Background:
Lung cancer patients have a higher chance of getting infected and showing severe outcomes from coronavirus disease 2019 (COVID-19). This infection influences the respiratory system, albeit other organs are also involved with high risk related to health. The blend of COVID-19 disease and lung cancer predicts a higher mortality rate and more serious clinical results.

Objective:
This research reports the Systemic Review and Meta-analysis correlation between COVID-19 patients with lung cancer and comprehensive proof with regards to the mortality of these patients.

Methods:
A systematic review and meta-analysis are planned to evaluate the data from a PubMed systematic search on Lung Cancer Patients reported by COVID-19, as well as an efficient literature review and information research from 2019 to 2021.

Results:
22 out of 3639 review and research literature assessments were gathered, and 10951 patients were COVID +ve and suffering from cancer, with 21% of the patients suffering from SCLC and NSCLC, and lung cancer accounting for 6% of the mortality.

Conclusion:
Lung cancer Patients who are suffering from COVID-19 additionally reflected the seriousness of the illness and higher rates of intensive care unit confirmations and mechanical ventilation. COVID-19 in patients with lung cancer is related to extreme disease and expanded mortality compared with patients with different tumours and everyone. There is conflicting proof of explicit lung cancer therapies' results. Until more conclusive data is available, lung cancer-coordinated therapy should be restarted as soon as possible in mild to moderate cases to avoid decline and cancer-related mortality.
Molecular Insights of Plant Phytochemicals Against Diabetic Neuropathy
Authors: Balkrishna Acharya , Pathak Rakshit , Bhatt Shalini , Arya Vedpriya 
Published: August 2022

Abstract:
Diabetes and its associated complications including diabetic neuropathy have become a
menacing headache for health workers and scientists all over the world. The number of diabetic
individuals has been growing exponentially every day while the entire medical fraternity feels crippled
and unable to handle such an enormous and anarchical scenario. The disease also demonstrates
itself in the patients in numerous ways ranging from a little discomfort to death. Diabetic
neuropathy has a poor prognosis since it might go unnoticed for years after the onset of diabetes.
The etiology of the disease has been linked to oxidative stress caused by increased free radical production.
Hyperglycemia causes multiple metabolic pathways to be activated, as well as significant
oxidative stress, which becomes the major cause of cell death, culminating in Diabetic Neuropathy.
So, it is the need of the hour to find out permanent treatment for this life-threatening disease. The
primary goal of this study is to emphasize the potential importance of numerous processes and
pathways in the development of diabetic neuropathy as well as the possible role of plant metabolites
to control the disease at a molecular level. A possible mechanism was also summarized in the
study about scavenging the reactive oxygen species by a flavonoid component. The study also covered
the in vivo data of various plants and some of the flavonoid compounds actively studied
against Diabetic Neuropathy by inhibiting or reducing the contributing factors such as proinflammatory
cytokines, ROS, RNS inhibition, and upregulating the various cellular antioxidants
such as GSH, SOD, and CAT.
Effect of Suspended Solids and Organic Matter in Water on the Removal
of ZnO-NPs by Coagulation
Authors: Tao Jiaqing , Zhao Changrong , Zhuang Chang , You Zhaoyang , Shah Kinjal J. 
Published: August 2022

Background:
Zinc oxide nanoparticles (ZnO-NPs) have been shown to have a non-negligible impact on the environment

Objective:
Kaolin and humic acid were used in the aqueous environment to study their effects on the removal of ZnO-NPs.

Method:
In this work, polyaluminum ferric chloride (PAFC)/cationic polyacrylamide (CPAM) coagulants were used together with kaolin and humic acid were used to study their effects on the removal of ZnO-NPs and to analyze their mechanism of action.

Results:
The results showed that the removal rate of ZnO-NPs in the humic acid system decreased by about 30% compared to that in the pure water system, and increasing the ionic strength and humic acid concentration was not conducive to removing ZnO-NPs. On the other hand, the ZnO-NPs removal rate in the kaolin system was up to 96.28%, and increasing the ionic strength and kaolin concentration contributed to the removal of ZnO-NPs. In the humic acid and kaolin systems, the effects of coagulant dosage and pH on the removal of ZnO-NPs were about the same as in the pure water system. Moreover, 5 mg/L humic acid inhibited floc growth during removal of ZnO-NPs by coagulation with PAFC/CPAM. In contrast, 5 mg/L kaolin promoted flocs growth, resulting in stronger and more stable flocs and a 5.25% increase in the fractal dimension compared to the pure water system.

Conclusion:
These results suggested that suspended solids and natural organic matter in the water could directly affect the effectiveness of coagulation to remove ZnO-NPs.
Hybrid Nanocarriers for Neurological Disorders: Diagnostic &
Therapeutic Approach
Authors: Mishra Anuradha , Ahsan Rabiya , Islam Anas , Tiwari Rohit Kumar , Dash Pragyandip P. 
Published: August 2022

Background:
Around 1.5 billion people in the world are affected by complex neurological
disorders, and the figure is increasing alarmingly due to unsatisfactory clinical outcomes. To date, no
conventional formulation can show a promising effect on the control or prevention of neurodegeneration.
However, Nano delivery tools have shown better penetration and profound action on the targeted
area of the brain.

Methods:
Although existing Nano therapeutic approaches are abundant but would not reach the clinic
due to their improper bioavailability, BBB restricts its entry and causes improper biodistribution, so it
is a challenge to use certain bioactive as a potential therapy in neurodegenerative disorders. Hybrid
nanocarriers are nano-vesicular transported systems which could be utilized as carriers for the delivery
of both hydrophilic and hydrophobic compounds. Available patents on nanodelivery for therapeutic
approaches will also include in this review.

Results:
Hybrid Nano delivery system may provide good stability to polar and nonpolar compounds
and improve their stability.

Conclusion:
This manuscript updates the available findings on the Nano vesicular system to deliver
drugs for neurodegenerative disorders.
Biosynthesis of Silver Nanoparticles at Various pH Values and their
Applications in Capturing Irradiation Solar Energy
Authors: Faris Vinos Mushir , Barzinjy Azeez Abdullah , Hamad Samir Mustafa 
Published: August 2022

Background:
Metallic nanoparticles (NPs), in general, are able, due to the high surface area per unit volume, to absorb the maximum incoming light flux through the vicinity of plasmonic structures and then provide local heating. Thus, silver (Ag) NPs has been used to generate heat and increase the temperature of water from solar radiation energy. The optimal plasmonic heating generation can be obtained as soon as the wavelength of the light source is close to the plasmonic resonance wavelength of Ag NPs.

Objective:
Ag NPs have been fabricated through a straightforward, cheap, as well as environmentally friendly approach. In this study, Salix babylonica L., weeping willow leaf extract has been utilized as a reducing, capping, and stabilizing agent, without using any other toxic materials. The importance of this study lies in the generation of hot electrons, which can be obtained by collecting the solar spectrum near the infrared and infrared regions, which cannot be obtained by the conventional photocatalytic devices.

Methods:
Numerous characterization techniques such as; UV-Vis, FT-IR spectroscopy, X-ray diffraction (XRD), X-ray Photoelectron Spectroscopy (XPS), scanning electron microscopy (SEM), and energy dispersive X-ray (EDX) analysis were used to study the optical, chemical, structural, morphological, properties of the Ag NPs.

Results:
The impact of pH on the properties of Ag NPs and their performance to generate heat during solar irradiation have been investigated intensively. This study showed that the synthesized Ag NPs with pH value 12 is the optimum condition and can increase the temperature of water dramatically.

Conclusion:
An evaluation of the current patents displays that the field of green synthesis Ag NPs utilizing plant extracts is a vital field and produces rather stable, safe and effective Ag NPs. The novelty of this patent is that Ag NPs can be synthesized from a one-pot reaction without using any exterior stabilizing and reducing agent, which is not conceivable by means of the existing processes. This study, also, is rare and distinctive, and it demonstrates that even a slight quantity of the Ag NPs is significantly raising the temperature of water effectively.
Lesbian Gay Bisexual Transgender Questioning/Queer Two-
Spirit Adolescents and Suicidality
Authors: Tobin Valerie , Sheth Neeral K. , Thompson Hale M. , Karnik Niranjan S. 
Published: August 2022

Background:
At a time when suicides are increasing throughout the United States, lesbian, gay, bisexual, transgender, and two spirit (LGBTQ2S) adolescents are at especially high risk for suicidal ideation, attempts, and completed suicide.

Objectives:
To 1) provide an overview and clinical perspective on LGBTQ2S suicidal ideation, attempts, and completed suicide; 2) discuss how the literature maps on to theories of suicide, and also points the way to clinical recommendations; and 3) give recommendations for clinical care based on this evidence.

Method:
This article uses a narrative review style to discuss the current concerns around LGBTQ2S adolescent suicide. The Social Ecological Model, the Interpersonal Psychological Theory of Suicide, and Minority Stress Theory are used describe the manner in which risks are acquired.

Results:
Emerging research demonstrates risks and protective factors in the lives of LGBTQ2S adolescents. The social context of LGBTQ2S adolescents puts them at risk for internalizing the experiences of discrimination evident in our society, In addition, there are other risk factors frequently associated with their LGBTQ2S status, such as substance misuse, homelessness, and lack of social support . Adolescents of color are especially vulnerable as they experience multiple marginalizations, often living in under resourced communities with poor access to health care. Support to families can be provided in the form of psychoeducation based on research findings. Social support is crucial and can be effectively provided in schools. Access to mental health care needs to be increased and barriers reduced.

Conclusion:
There is a need for more research, especially prospective study designs and research that centers adolescents of color and homeless adolescents. While there may be barriers to addressing the current rate of suicidality in this population, clinicians who work with adolescents can use a range of therapies to support their LGBTQ2S adolescent patients and their families, decreasing risk of suicidality.
Substitutional Tungsten Doping in Silicon Carbide Introducing Magnetic
Properties: A Computational DFT Approach
Authors: Panda Subhraraj , Patnaik Padmaja , Das Dipan kumar , Mukhopadhyay Gautam 
Published: August 2022

Background:
Small concentration of magnetic material, in general, the transition metal atoms
(TM), when doped into a semiconductor, behaves as a diluted magnetic semiconductor (DMS). It has an
application to Quantum computing & spintronic devices. DMS silicon carbide has strong coupling and
high Curie temperature. The magnetic and electronic properties of SiC with TMs impurities have been in
focus for theoretical and experimental researchers.

Objective:
The objective of this work is to study the electrical and magnetic properties of tungsten doped
cubic SiC. Comparing the density of states plot with and without impurity, the change in property happening
due to the presence of tungsten is observed. Partial density of states is also plotted and interpreted.
Self-consistent spin polarized calculations are done to study the magnetic properties. Magnetic Moment is
also calculated for substitutional doping of SiC at different sites.

Methods:
Tungsten doped 3C-SiC is investigated by using the first-principle energy code, Quantum Espresso,
which uses pseudopotential within Density Functional Theory (DFT). The calculations are done
by density functional pseudopotential energy calculations in periodic systems by solving iteratively the
Kohn Sham equation in a plane wave basis set. Both norm conserving and Vanderbilt USPP are used.
Self-consistent iterations were performed until convergence of total energy and total charge was obtained.
We used different k-point meshes for different supercells with 16, 54 and 128 atoms giving results for
carious impurity percentages.

Results:
The formation energy values obtained indicate that the W impurity prefers the Si site to the C
site in cubic SiC. The presence of a narrow band towards the conduction band minimum is due to the W-d
states for Si site substitution. Both spin-up and spin-down states contribute towards the valence band, and
a small contribution goes towards the conduction band. The magnetic moment values for C site substitution
are lower than Si site substitution.

Conclusion:
It is observed W doped with Si site of cubic silicon carbide shows ferromagnetic behavior.
Hence, there is a possibility of 3C SiC doped with W at the C site to behave as a semi-insulating material.
Laccases as Gold Standard Enzymes for Biotechnology
Authors: Laha Anubhab , Prasad Anchita , Baj Kalash , Shukla Nidhi , Solanki Pooran Singh , Bandopadhyay Rajib , Nallapeta Sivaramaiah , Medicherla Krishna Mohan , Suravajhala Prashanth , Nigam Vinod Kumar 
Published: August 2022

Background:
Laccases are among the oldest known multi-copper enzymes from a di-verse array of species, including bacteria and fungi, and are of great importance in different indus-tries like beverage, biosensors, textile, paper, and pulp. From the aspect of origin, interestingly, bac-terial laccase is of two kinds, namely, 3-domain conventional laccase and 2-domain small laccase. This enzyme is capable of degrading synthetic textile azo dyes, xenobiotic polycyclic aromatic hy-drocarbons, biogenic amines etc. Over the last few years, research on laccase has steadily increased based on biosensors and the understanding of known unknowns.

Objective:
In this extensive review, we focus on classification, structural differences based on assorted origins, and applications that will help to know the unknown factors about this strenuous enzyme.

Conclusion:
To better understand the origin-function relationship, hypothetical proteins of selected bacterial laccase are reviewed.
Structure Design and Performance Test of Wheat Combine Harvester
Based on Numerical Modeling
Authors: Tang Zhong , Gu Xinyang , Zhang Ben , Wang Meilin , Liang Yaquan 
Published: August 2022

Background:
In response to the current needs for the development of large-scale wheat combine harvesters, this paper carried out the structure design and performance test of a large feed volume wheeled wheat combine harvester.

Methods:
Based on the characteristics of wheat plants, this paper designed a wheeled wheat combine harvester with a feed rate of 10kg/s. Subsequently, the structural parameters and design process of the main working components such as the header feeding device, the conveying device, the threshing device, the separation and cleaning device, the walking device, the cab, and the straw crushing device are elaborated. The strength of the key parts was checked by finite element simulation, and the structural parameters were optimized.

Results:
The results show that the large feed volume combine harvester which designed in this paper can achieve entrainment loss rate of less than 2.39% and cleaning loss rate of less than 0.26%, significantly lower than the current 3% loss rate and there is almost no unclean and broken situation.

Conclusion:
This research provides reference for the design of large feed volume combine harvester.
Maternal and Paternal Exercise Induce Distinct Metabolite Signatures in Offspring Tissues
Authors: Hernández-Saavedra Diego , Markunas Christina , Takahashi Hirokazu , Baer Lisa A. , Harris Johan E. , Hirshman Michael F. , Ilkayeva Olga , Newgard Christopher B. , Stanford Kristin I. , Goodyear Laurie J. 
Published: August 2022

<p> </p>
<p>Maternal and paternal exercise are well-established to improve the metabolic health of adult offspring. Tissue and serum metabolites play a fundamental role in the health of an organism, but how parental exercise affects offspring tissue and serum metabolites has not yet been investigated. Here, male and female breeders were fed a high-fat diet and housed with or without running wheels before breeding (males) and before and during gestation (females). Offspring were sedentary and chow-fed and had both parents sedentary (Sed); maternal exercise (MatEx); paternal exercise (PatEx); or maternal+paternal exercise (Mat+PatEx). Adult offspring from all parental exercise groups had similar improvement in glucose tolerance and hepatic glucose production. Targeted metabolomics was performed in offspring serum, liver, and triceps muscle. Offspring from MatEx, PatEx, and Mat+PatEx each had a unique tissue metabolite signature, but Mat+PatEx offspring had an additive phenotype relative to MatEx or PatEx alone in a subset of liver and muscle metabolites. Tissue metabolites consistently indicated that the metabolites altered parental exercise were consistent with enhanced fatty acid oxidation. These data identify distinct tissue-specific adaptations and mechanisms for parental exercise-induced improvement in offspring metabolic health. Further mining of this dataset could aid the development of novel therapeutic targets to combat metabolic diseases.</p>
Decision Tree and K-Nearest Neighbor (K-NN) Algorithm Based on Particle Swarm Optimization (PSO) for Diabetes Mellitus Prediction Accuracy Analysis
Authors: Rachman Andi Nur , Supratman Supratman , Dewi Euis Nur Fitriani 
Published: August 2022

Penyakit Diabetes Mellitus merupakan penyakit tidak menular, tetapi penyakit ini merupakan salah satu penyakit yang mematikan bagi yang mengidapnya. Penyakit ini disebabkan oleh beberapa factor diantaranya pola makan hidup yang tidak teratur atau berlebihan. Apabila penyakit ini tidak dihentikan, maka penderita penyakit Diabetes Mellitus akan semakin memakan para pasien penderita penyakit ini. Menurut WHO atau World Health Organization, sekitar 425 juta orang menderita penyakit diabetes, kemudian 1,6 juta kematian setiap tahunnya di akibatkan oleh penyakit diabetes. Kemudian, pada tahun 2016 di Indonesia, kematian yang disebabkan oleh penyakit diabetes sekitar 99 ribu jiwa. Penyakit diabetes pada tahun ke tahun semakin meningkat, jadi perlu adanya sebuah sistem yang dapat membantu medis untuk melakukan klasifikasi terhadap diabetes berdasarkan data kesehatan pasien. Salah satu metode yang dapat digunakan untuk memprediksi penyakit diabetes mellitus adalah dengan menggunakan data mining. Data mining merupakan suatu proses yang interaktif untuk memprediksi penyakit diabetes mellitus. Prediksi untuk mendiagnosis penyakit ini menggunakan seleksi fitur berbasis Particle Swarm Optimization (PSO) pada dataset Kaggle.com. Dan metode klasifikasi yang digunakan yaitu metode Decision Tree dan K-Nearest Neighbors (K-NN). Hasil dari penelitian ini menghasilkan nilai akurasi tertinggi sebanyak 79.8% dengan AUC 0.71 dengan menggunakan metode Decision Tree, dan untuk menggunakan optimasi metode K-Nearest Neighbors (K-NN) menggunakan Particle Swarm Optimization (PSO) memiliki nilai akurasi tertinggi sebanyak 77.09%.
Clustering Analysis in Sales Grouping Using The K-Means Algorithm at Cafe 47°Coffee
Authors: Hidayat Raihan , Kusniyati Harni 
Published: August 2022

Cafe 47°Coffee adalah cafe yang bergerak dibidang kuliner yang menyediakan makanan maupun minuman. Dengan banyaknya pesaing bisnis dibidang cafe maka dari itu pengusaha cafe 47°Coffee diharuskan mampu bersaing dengan memanfaatkan dari data transaksi untuk menentukan suatu strategi penjualan. Data yang akan digunakan pada penelitian ini yaitu data penjualan dari bulan Juli 2021 sampai Februari 2022. Pengusaha cafe 47°Coffee memanfaatkan Data Mining untuk membantu mengambil keputusan strategi penjualan agar dapat mengetahui produk yang harus di tingkatkan dan memberi solusi pengambil keputusan, Metode Clustering dengan menggunakan algoritma K-Means adalah salah satu metode yang akan digunakan pada penelitian ini. Pengusaha Cafe 47°Coffee mengelompokan produk kedalam 3 kriteria yaitu sangat laku, laku, dan tidak laku. Data diolah dengan perhitungan manual dan menggunakan tools Rapid Miner untuk melakukan pengujian, sehingga dapat hasil akhir berupa 4 item cluster sangat laku yakni V60, Caramel Coffe Latte, Red Velvet, dan Coklat , 7 item cluster laku yakni Cappucino, Vanilla Coffe Latte, Hazelnut, Taro, Lychee Tea, Japanese, dan Greentea, 14 item cluster tidak laku yakni Americano, Espresso, Moccacino, Kopi tubruk, Vietnam Drip, Kopi sundan, Avocado Coffe Latte, Match, Strawberry Tea, Milkshake Strawberry, Banana, Cofee Lemon, Kopi susu, dan risol. Dari proses clustering menggunakan algoritma k-means diatas diperoleh nilai DBI (Davice Bouldin Index) dengan nilai -0,813. Hasil ini dapat dimanfaatkan pengusaha Cafe 47°Coffee untuk meningkatkan strategi penjualan dan manajemen stok.
Implementation of Decision Support System for Determining the Best Posyandu Using the Simple Additive Weighting Method
Authors: Meiriza Allsela , Ali M Rifki 
Published: August 2022

Posyandu adalah sebuah kegiatan dari contoh upaya kesehatan bersumberdaya masyarakat yang memberikan layanan kesehatan dasar untuk masyarakat yang dilaksanakan oleh masyarakat itu sendiri dalam memberdayakan dan memberikan keringanan kepada masyarakat dalam bidang kesehatan. Untuk menciptakan posyandu yang cerdas dan sehat, serta memajukan citra posyandu, Dinas Kesehatan, Kabupaten Banyuasin mengadakan lomba posyandu. Tujuan diadakannya lomba posyandu ini adalah untuk memaksimalkan kemampuan posyandu sebagai pionir melayani kesehatan bagi ibu dan anak. Namun penentuan posyandu terbaik masih belum efektif dan optimal, karena pihak Dinas Kesehatan mengalami kesulitan dalam menentukan posyandu terbaik, dikarenakan terdapat banyak posyandu yang harus dilakukan penilaian dan kerap kali terjadi kesalahan saat melakukan penilaian yang menyebabkan penentuan posyandu terbaik tidak tepat dan akurat. Penelitian ini memberikan solusi dengan mengimplementasikan sebuah sistem yang biasa dikenal dengan Sistem Pendukung Keputusan (SPK) sebagai teknologi informasi untuk meningkatkan kualitas keputusan bersumber pada pemakaian sistem serta untuk mempermudah pihak Dinas Kesehatan, Kabupaten Banyuasin dalam mengambil keputusan untuk penentuan posyandu terbaik di Kabupaten Banyuasin. Penelitian ini memberikan hasil suatu SPK Penentuan Posyandu Terbaik dengan menerapkan metode Simple Additive Weighting (SAW). Kata Kunci: Sistem Pendukung Keputusan, Posyandu, Simple Additive Weighting, Waterfall