bluuebunny/crossref_metadata_2025_split huggingface dataset:
Revisiting the Austral Spring Extratropical Southern Hemisphere zonally asymmetric circulation using complex Empirical Orthogonal Functions
Authors: Campitelli Elio , Díaz Leandro B. , Vera Carolina 
Published: June 2022

Abstract
The large-scale extratropical circulation in the Southern Hemisphere is strongly zonally symmetric, but its zonal departures, albeit highly relevant for regional impacts, have been less studied.In this study we analyse the joint variability of the zonally asymmetric springtime stratospheric and tropospheric circulation using Complex Empirical Orthogonal Functions (cEOF) to characterise planetary waves of varying amplitude and phase.The leading cEOF represents variability of a zonal wave 1 in the stratosphere that correlates slightly with the Symmetric Southern Annular Mode (S-SAM).The second cEOF (cEOF2) is an alternative representation of the Pacific-South American modes. One phase of this cEOF is also extremely correlated with the Asymmetric SAM (A-SAM) in the troposphere. Springs with an active ENSO tend to phase-lock the cEOF2, but have no consistent impact on its magnitude.Furthermore, we find indications that the location of Pacific Sea Surface Temperature anomalies affect the phase of the cEOF2. As a result, the methodology proposed in this study provides a deeper understanding of the zonally asymmetric springtime extratropical SH circulation.
Forecasting of groundwater level fluctuations using a hybrid of multi-discrete wavelet transforms with artificial intelligence models
Authors: Momeneh Sadegh , Nourani Vahid 
Published: June 2022

Abstract
Groundwater is often one of the significant natural sources of freshwater supply, especially in arid and semi-arid regions, and is of paramount importance. This study provides a new and high accurate technique for forecasting groundwater level (GWL). The artificial intelligence (AI) models include the artificial neural network (ANN) of multi-layer perceptron (MLP) and radial basis function network (RBF), and adaptive neural-fuzzy inference system (ANFIS) models. Input data to the models is the monthly average GWL of 17 piezometers. In this study, a preprocessing of data including the discrete wavelet transform (DWT) and multi-discrete wavelet transform (M-DWT) simultaneously was utilized. The results showed that the hybrid M-DWT-ANN, M-DWT-RBF, and M-DWT-ANFIS models compared to the DWT-ANN, DWT-RBF, and DWT-ANFIS models as well as than regular ANN, RBF, and ANFIS models, had the highest accuracy in forecasting GWL for the 1-, 2-, 3-, and 6-months ahead. Also, the M-DWT-ANN model had the best performance. Overall, the results illustrated that using the M-DWT method as preprocessing of input data can be a valuable tool to increase the predictive model's accuracy and efficiency. The results of this study indicate the potential of M-DWT-AI hybrid models to improve GWL forecasting.
Groundwater quality status based on a modification of water quality index in an arid area, Iran
Authors: Goodarzi Mohammad Reza , Abedi Mohammad Javad , Niknam Amir Reza R. , Heydaripour Mahnaz 
Published: June 2022

AbstractIncreasing population, high demand for food, and uncontrolled abstraction of aquifers have severely affected the water quality. This study aimed to evaluate the water quality of 17 deep agricultural wells in Bahabad plain from the perspective of irrigation and drinking. In order to determine the water quality of wells and analyze the water quality index (WQI), a set of statistical methods such as a fuzzy analytic hierarchy process (FAHP) and TOPSIS were used. WQI is considered one of the primary methods for assessing drinking water quality. Still, due to the discrepancy between the results and the WQI (WHO), it was decided to modify the WQI method. The integrated use of FAHP-WQI and the TOPSIS method led to significant changes in the grading and the classification of water wells. The results showed that these two methods combined could be used as a good and complementary technique to eliminate ranking inconsistencies by WQI. Combining WQI results with GIS also allows for a deeper analysis of drinking water quality. The results showed that most of the water quality problems are due to wells in the northern region of the plain, and more than 41% of wells in this region are not in good condition.
A machine learning framework for predicting downstream water end-use events with upstream sensors
Authors: Kropp Ian , Pouyan Nejadhashemi A. , Julien Ryan , Mitchell Jade , Whelton Andrew J. 
Published: June 2022

AbstractUnderstanding the end-use of water is essential to a plethora of critical research in premise plumbing. However, direct access to end-use data through physical sensors is prohibitively expensive for most researchers, building owners, operators, and practitioners. Therefore, machine learning models can alleviate these costs by predicting downstream end-use events (e.g., sink, shower, dishwasher, and washing machine) via an affordable subset of upstream sensors. Choosing which upstream sensors, as well as data preprocessing methods, are best for machine learning has historically been a manual process. This paper proposes a novel approach to systematically configure the machine platform automatically. The optima were determined through a Pareto analysis of the exhaustive combinations of upstream predictors and preprocessing methods. The model was trained and validated with real-world data obtained from a house that has been extensively monitored for over a year. Results from the analysis suggested that downstream events can be effectively predicted with minimum overfitting error for most categories, using as few as two to four upstream sensors. This study automatically implemented highly accurate machine learning models to predict downstream features within premise plumbing systems, significantly lowering the costs of researching residential plumbing best practices such as water conservation.
Self-emulsifying Drug Delivery System for Oral Anticancer Therapy: Constraints
and Recent Development
Authors: Pandya Mrugank , Chatterjee Bappaditya , Ganti Srikar 
Published: June 2022

Abstract:
Oral anticancer therapy faces several drawbacks of low aqueous solubility, poor and irregular absorption from gastro-intestinal sites, high first-pass metabolism, food-influenced absorption, non-targeted delivery, severe systemic and local adverse effects, etc. Enhancement of oral bioavailability could reduce the drug load and associated adverse effects. Self-emulsifying drug delivery systems (SEDDS) can enhance in-vivo solubility and drug absorption from the gastrointestinal tract, bypass liver metabolism by lymphatic absorption and inhibit efflux transport. All these phenomena ultimately result in improved oral bioavailability. Anticancer drug delivery using the SEDDS has shown promising results for bioavailability and pharmacodynamic response. A handful number of researches have produced evidence of the successful loading of anticancer agents in SEDDS-based formulations. Various potent and established chemotherapeutic agents such as docetaxel, paclitaxel, etoposide, 5 Fluorouracil, doxorubicin etc. have been successfully formulated and evaluated. Improved bioavailability and reduction of dose might be possible by SEDDS. It could be effective for low-dose drugs. But, excessive surfactant-cosurfactant concentration, lacking predictive in-vitro models and adequate IVIVC, unavailability of toxicity data are certain challenges for future researchers. To date, no clinical trials have been recorded with anticancer drug loaded SEDDS. To avail the benefits of anticancer SEDDS, overcoming the challenges and further progression to clinical studies are required.

Methods:
Hospital based retrospective, observational study in which all the confirmed cases of CSC (272) seen between 2010 and 2019 were included. Supplementary data was collected on follow up visits or through telephonic calls.

Results:
The male: female ratio was 17:1; low socio-economic status was (155; 73.45%), and occupations such as drivers (61; 28.9%) and outdoor laborers (59; 27.96%) were the most commonly affected. The majority (78.05%; 185) were single expatriates. Financial worries (105; 50.72%) constituted the leading cause of stress. The usage of corticosteroids (83; 30.51%), nasal decongestants (14.70%) or both (17; 6.25%) within one year was common; mostly (82; 30.14%) for rhinitis/respiratory states, though grossly under-recognized. Muscle relaxants and psychotropic medications were the other major medications used by 24 (8.82%) and 25 (9.19%) cases prior to CSC. Seven of 15 women had at least one condition that alters the endocrinal milieu: Pregnancy (3), recent child birth (1), erratic oral contraceptive intake (1), menopause with liver dysfunction (1), hormone replacement therapy for menopause and endometriosis (1), ovarian cyst and infertility (1) hypothyroidism (3), and Cushing syndrome (1). Chronic/ recurrent forms were seen in 31.08%. There were too few glaucoma patients despite both CSC and glaucoma being common among our patients.
Metal-Organic Compounds as Anticancer Agents: Versatile Building
Blocks for Selective Action on G-quadruplexes
Authors: Toro Patricia M. , Saldias Marianela , Valenzuela-Barra Gabriela 
Published: June 2022

Background:
Since the 1980s, cancer research has focused primarily on developing
new therapeutic agents targeting DNA alterations rather than understanding cancer
as an integrated system composed of several modules. In this sense, G-quadruplex (G4)
nucleic acids are a promising target for drug development for cancer therapy since they
exist in the chromosomal telomeric sequences and the promoter regions of numerous
genes. The G4 structures within telomeric DNA can inhibit telomerase activity and prevent
the proliferation and immortalization of cancer cells. Furthermore, such G4 systems
within the promoter regions of oncogenes can inhibit the transcription and expression of
the oncogene.

Objective:
The rational design of small molecules such as organic ligands and their metal-
organic derivative compounds can stabilize G4 structures through different binding
modes on several G4 DNA topologies. Metal-based compounds have demonstrated their
competitiveness compared to organic molecules to distinguish G4 over the DNA duplex
owing to their convenient coordination features, positive charge, and electron density promoted
by organic ligand.

Results:
This article is a comprehensive review of metal compounds G4-binders and
their structural features that confer them the ability to recognize G-quartets and stabilize
several DNA G4s.

Conclusion:
This stabilization can be achieved through extended square aromatic surfaces,
increased hydrophobicity, different auxiliary ligands, axially coordinated ligands,
and the nature of the metal center.
Cyclin-Dependent Kinase 4/6 Inhibitors Against Breast Cancer
Authors: Ates-Alagoz Zeynep , Hassan Mohammed Al-Kassim 
Published: June 2022

Abstract:
Breast cancer is the most frequently diagnosed and leading cause of cancer-related deaths
in women worldwide. Based on global cancer (GLOBOCAN) 2020 statistics, 1 in 4 cancer cases and
1 in 6 cancer deaths are attributable to breast cancer, leading both in incidence and mortality. To address
the increasing burden of cancer, novel therapeutic approaches that target key hallmarks of cancer
are explored in cancer drug discovery. Cyclin-dependent kinase (CDK) inhibitors are generally
purine and pyrimidine analogues validated for the treatment of cancer due to their unique roles in cancer
deregulation and novel therapeutic potentials. So far, three orally administered, potent and highly
selective CDK4/6 inhibitors (palbociclib, ribociclib, abemaciclib) have been approved by the FDA for
the targeted treatment of advanced or metastatic breast cancer in combination with endocrine therapy.
Furthermore, several compounds derived from various synthetic scaffolds are being explored with
promising results and positive outcomes in various stages of clinical trials. In this review, we highlight
these CDK4/6 inhibitor compounds with potent anti-CDK4/6, in vitro and in vivo activities on breast
cancer cells. With the remarkable prospects of these compounds, there is great optimism further novel
CDK inhibitor compounds will be discovered in the future that could boost therapeutic options for
cancer treatment.
Prevalence of Metabolic Syndrome and Its Associated Potential Factors
among the Elderly in the East of Iran
Authors: Farkhondeh Tahereh , Kazemi Toba , Bijari Bita , Sharifi Farshad , Moodi Mitra , Saeedi Farhad , Bizhaem Saeede Khosravi , Hoseinzadeh-Chahkandak Fatemeh , Samarghandian Saeed 
Published: June 2022

Background and Aims:
This cross-sectional study aimed to determine potential factors
with a strong association with metabolic syndrome (MetS) among obesity and lipid-related parameters,
and liver enzymes, fasting blood glucose (FBG), and blood pressure (BP) as well as some sociodemographic
factors in elderly over 60 years old from a sample of Birjand Longitudinal Aging Study (BLAS).

Methods:
A total of 1366 elderly Birjand participants were enrolled and divided into non-MetS (n
= 512) and MetS (n = 854) groups based on the status of MetS from January 2018 to October 2018.
The anthropometric parameters, blood lipid profiles, liver enzymes, and disease history were evaluated
and recorded.

Results:
62.5% of the participants from our sample of elderly Birjand have MetS (33.4% in males
and 66.6% in females). The prevalence of MetS in females was significantly higher than in males
(P < 0.001). The increasing trend in the number of MetS components (from 0 to 5) was observed
in females (p < 0.001). Odds ratio showed a strong association between female gender [8.33 (5.88-
11.82)], obesity [8.00 (4.87-13.14)], and overweight [2.44 (1.76-3.40)] with MetS and acceptable
association between TG/HDL [(1.85 (1.62-2.12)] with MetS.

Conclusion:
This study indicated that the female sex, overweight and obesity have a strong association
with MetS and TG/HDL has an acceptable association found in the sample of the elderly Birjand population.
However, due to the obvious limitations of our study including the homogeneous sex and race of
population, and no adjustment for several important confounding factors including sex, different ages,
stage in the elderly, alcohol consumption, smoking, married status, physical activity, diet, and family history
of CVD, more epidemiological investigations are needed to address this question.
Microwave-assisted Synthesis of Acrylamide Grafted Polymeric Blend of
Fenugreek Gum and its Characterization
Authors: Pandey Narendra Kumar , Gandhi Asha , Verma Surajpal , Singh Sachin Kumar , Kumar Bimlesh , Vikash Bala , Sudhakar CK 
Published: June 2022

Objective:
In this study, fenugreek gum (isolated from fenugreek seed) was modified into a
grafted form using a microwave-assisted method. Acrylamide was used as a monomer, and ceric ammonium nitrate (CAN), potassium persulfate (KPS), and ammonium persulfate (APS) were used as redox
initiators.

Methods:
The experimental design (Taguchi OA) was used to optimize the synthesis of the grafted copolymer of fenugreek gum. In this model, seven independent variables were selected on the basis of their
preliminary study. These were monomer concentration (X1), gum concentration (X2), initiator concentration (X3), irradiation power (X4), speed (X5), time (X6), temperature (X7), and three response variables
as % yield (Y1), % grafting (Y2), and % grafting efficiency (Y3) were identified. The optimized copolymers of grafted gum were characterized by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), differential scanning calorimetry (DSC), NMR studies, surface morphology and swelling
index.

Results:
The yield of fenugreek gum after extraction was found to be 55.99±0.015% w/w. The percentage
grafting of 50.20±4.0, along with grafting efficiency of 83.7±0.1, was obtained with the selected concentration of acrylamide as 15 mg, grafted gum as 0.25 mg, and ammonium persulfate as 0.2 mg after 60 sec.
of irradiation time.

Conclusion:
In the present study, the graft copolymers of fenugreek gum were synthesized. After optimization of the grafting batch, the design (Taguchi OA) was combined with a desirability function. The
results underline the importance of graft polymerization techniques for modifying the properties of a polymer.
A Comprehensive Literature Review of Lipids Used in the Formulation of
Lipid Nanoparticles
Authors: Chauhan Iti , Singh Lubhan 
Published: June 2022

Abstract:
Lipid nanocarriers are reaching new heights in the field of drug delivery. The core of this
technology resides in simple molecules, i.e., lipids. Solid and liquid lipids of biocompatible and generally
recognized as safe (GRAS) status are employed for the development of lipid nanoparticles along
with surfactant(s), solvents, and drug molecules. Researchers have practiced a variety of solid and liquid
lipids with acceptable profiles in the formulation of lipid nanoparticles. Solid lipids like triglycerides,
fatty acids, fatty alcohols, waxes, and butter have been used in designing lipid nanocarriers. The
potential of various plant-based oils has also been tested in designing nanostructured lipid carriers
(NLC). With the exponential advancement in lipid-based delivery systems, there exists a need for an
appropriate lipid system to obtain an effective product. This review gives a brief insight into lipids,
which have been exploited by researchers for designing solid lipid nanoparticles (SLN) and nanostructured
lipid carriers. A tabular presentation of important key points of past studies exploiting these lipids
for preparing SLN/NLC is the highlight of the article.
Tumor Suppressor microRNAs in Gastrointestinal Cancers: A Mini-Review
Authors: Jothimani Ganesan , Bhatiya Meenu , Pathak Surajit , Paul Sujay , Banerjee Antara 
Published: June 2022

Background:
Gastrointestinal (GI) cancer is associated with a group of cancers affecting the organs in the GI tract, with a high incidence and mortality rate. This type of cancer development in-volves a series of molecular events that arise by the dysregulation of gene expressions and microRNAs (miRNAs).

Objectives:
This mini-review focuses on elucidating the mechanism of tumor suppressor miRNA–me-diated oncogenic gene silencing, which may contribute to a better understanding of miRNA-mediated gene expression regulation of cell cycle, proliferation, invasion, and apoptosis in GI cancers. In this review, the biological significance of tumor suppressor miRNAs involved in gastrointestinal cancers is briefly explained.

Methods:
The articles were searched with the keywords ‘miRNA’, ‘gastrointestinal cancers’, ‘esopha-geal cancer’, ‘gastric cancer’, ‘colorectal cancer’, ‘pancreatic cancer’, ‘liver cancer’, and ‘gall bladder cancer’ from the Google Scholar and PubMed databases. A total of 71 research and review articles have been collected and referred for this study.

Results:
This review summarises recent research enhancing the effectiveness of miRNAs as novel prognostic, diagnostic, and therapeutic markers for GI cancer treatment strategies. The expression pat-tern of various miRNAs has been dysregulated in GI cancers, which are associated with proliferation, cell cycle regulation, apoptosis, migration, and invasion.

Conclusion:
The role of tumor suppressor miRNAs in the negative regulation of oncogenic gene ex-pression was thoroughly explained in this review. Its potential role as a microRNA therapeutic candi-date is also discussed. Profiling and regulating tumor suppressor miRNA expression in gastrointestinal cancers using miRNA mimics could be used as a prognostic, diagnostic, and therapeutic marker, as well as an elucidating molecular therapeutic approach to tumor suppression.
Analisis Keuangan Usaha Kerajinan Batik Kayu dalam Memanfaatkan Teknologi Digital pada masa pademi covid-19 di Desa Krebet, Pajangan Bantul
Authors: Subroto Melvin Rahma Sayuga , Ruscitasari Zulfatun 
Published: June 2022

Keuangan usaha yang terencana dengan baik akan memperkirakan pendanan dan aliran kas, sehingga pelaku usaha dapat mengetahui layak atau tidaknya sebuah usaha yang dijalani. Pelaku usaha kerajianan batik kayu difokuskan dengan hanya loyalitas pelanggan, hanya sebatas pada kegiatan operasional saja, sehingga mengabaikan perencanaan keuangan. Maka dari itu peneliti tertarik untuk meneliti mengenai keuangan usaha kerajinan batik kayu. Penelitian ini bertujuan untuk mengetahui keuangan usaha yang telah diterapkan oleh UMKM pada pelaku usaha kerajanian batik kayu dalam memanfaatkan teknologi digital pada masa pademi covid-19 di desa krebet, pajangan Bantul Jenis penelitian ini ialah studi kasus. Perolehan data didapatkan peneliti melalui observasi, kuesioner, wawancara serta dokumentasi. Teknik analisis yang digunakan yaitu analisis deskriptif kualitatif agar dapat menjawab rumusan masalah. Hasil penelitian menemukan bahwa pelaku usaha telah menerapkan keuangan usaha dengan memanfaatkan teknologi digital pada masa pademi covid-19 . Pengelolaan keuangan yang diterapkan yaitu penggunaan modal pinjaman dan alokasi pengeluaran usaha sedangkan sulit diterapkan pada modal pribadi dan pencatatan keuangan pelaporan.
PENGARUH KUALITAS PELAYANAN DAN KUALITAS PRODUK TERHADAP KEPUASAN KONSUMEN DENGAN KEPUTUSAN PEMBELIAN SEBAGAI VARIABEL MEDIASI
Authors: Manggala Hutomo , Adirinekso Gidion P 
Published: June 2022

Restoran dengan konsep all you can eat merupakan restoran yang diminati oleh kaum muda saat ini. Kemunculan restoran tersebut tidak lepas dari kebutuhan manusia akan makanan dan minuman. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh dari kualitas pelayanan dan kualitas produk terhadap kepuasan pelanggan dengan keputusan pembelian sebagai variabel mediasi pada restoran Shaburi di Kelapa Gading Jakarta. Penelitian ini menggunakan pendekatan kuantitatif dengan instrumen penelitian berupa kuesioner yang melibatkan 165 orang responden sebagai bagian dari data yang akan diambil dalam penelitian ini. Penelitian ini akan menggunakan Teknik PLS-SEM di dalam penelitian ini untuk menjawab masalah penelitian dengan bantuan perangkat lunak SmartPLS3. Hasil penelitian ini memperlihatkan bahwa kualitas pelayanan berpengaruh terhadap kepuasan konsumen dan keputusan pembelian secara langsung, kualitas produk berpengaruh terhadap kepuasan konsumen dan keputusan pembelian secara langsung, keputusan pembelian tidak berpengaruh terhadap kepuasan konsumen, dan keputusan pembelian tidak mampu memediasi penuh kualitas pelayanan dan kualitas produk terhadap kepuasan konsumen.Kata kunci: kualitas pelayanan, kualitas produk, keputusan, kepuasan konsumen, shaburi
Impact of Inventory Management Flexibility on Service Flexibility and Performance: Evidence from Mainland Chinese Firms
Authors: SONG HUA , SONG YUAN-FANG 
Published: June 2022

Abstract
This article summarizes the literature on inventory management flexibility from a competence perspective, and it classifies the work according to inter-firm and intra-firm flexibilities. It also explores the relationships between inventory competence flexibility, service capabilities flexibility, and performance. The results show that intra-firm inventory management flexibility, which reflects internal competence, has a positive impact on service capabilities and performance, while inventory coordination flexibility, which captures inter-firm competence, has no significance on those elements. Empirical results suggest that collaborative inventory management flexibility is an important issue for Mainland China to address in the future, although intra-firm competences there have been improved.