bluuebunny/crossref_metadata_2025_split huggingface dataset:
Willingness to pay for faecal sludge management services - a scoping review
Authors: Tomoi Hiroaki , MacLeod Clara , Moriyasu Taeko , Simiyu Sheillah , Ross Ian , Cumming Oliver , Braun Laura 
Published: August 2023

Abstract
Under Sustainable Development Goal 6, a target (6.2) of achieving universal access to safely managed sanitation services was established. For safely managed sanitation, waste must be safely disposed of in situ or transported and treated offsite. The cost and availability of services to ensure safe management of onsite sanitation, such as pit latrines and septic tanks, can be major barriers for poor households. This scoping review aimed to scope the literature on willingness to pay (WTP) for emptying onsite sanitation and identify determinants of WTP and gaps in knowledge. Through searches of six databases, and after de-duplication, we identified 1,846 studies, of which 14 studies were included after review. Within the 14 included studies we identified 26 distinct investigation scenarios that reported WTP and market price. Among them, 77% (20/26 scenarios) reported that the WTP was lower than the market price. Twenty statistically significant determinants of WTP were identified, which we categorised as economic situation, urgency, service characteristics, service accessibility, and knowledge. The principal knowledge gap was WTP for services designed to reduce prices and/or increase WTP by improving supply-side efficiency or using mobile money. Addressing this gap could help address the challenge of achieving safely managed services for all.
A synergistic approach to morphotectonic evolution for watershed management in the Bearma River Basin, Central India
Authors: Singh Prinsi , Prakash Kuldeep , Kumar Suraj , Kannaujiya Ajeet K. , Mohanty Tanuja 
Published: August 2023

Abstract
Environmental catastrophes on a global scale have prompted a thorough evaluation of river morphology for sustainable basin development methods. Geomorphological investigations of river basins can provide significant information regarding Quaternary tectonic deformations. The present investigation intends to reveal tectonic imprints in the Bearma River Basin (BRB). Bearma is a significant river in central India that flows through Vindhyan Supergroup, Lameta, and Deccan Trap and contributes to developing the architecture of the marginal Gangetic plain. The digital elevation data has been utilized to obtain the morphotectonic indices, tectonic activity classes, and topographic characteristics. Bearma is an elongated basin with uplifted topography, continuously migrating channels, high hypsometric integral, and several stream length-gradient anomalies, indicating tectonically controlled. According to the tectonic activity index, 15.33%, 38.99%, and 46.55% areas of the BRB have high, moderate, or low tectonic activity, respectively. In conjunction with field investigations, the topographic and lineament study of the BRB has revealed significant relief variations and the importance of tectonic activity over erosion and depositional processes in determining the landscape. Reactivation of basement faults and subsurface lineaments caused by Himalayan tectonics and the Narmada Son North Fault have resulted in the recent deformation and development of the hydrographic network.
Data-driven modeling of sluice gate flows using a convolutional neural network
Authors: Yan Xiaohui , Wang Yan , Fan Boyuan , Mohammadian Abdolmajid , Liu Jianwei , Zhu Zuhao 
Published: August 2023

Abstract
Predicting the flow field around sluice gates is essential for controlling water levels and discharges in open channels and rivers. Smooth particle hydrodynamics (SPH) models can satisfactorily reproduce such free-surface flows, but they typically require long computational time and extensive computational resources. In this work, we propose a convolutional neural network (CNN) to predict the flow field around a sluice gate. A validated SPH model is used to carry out extensive simulations, and the generated data set is used to train and test CNN-based models. The results demonstrated that the developed CNN can accurately reproduce sluice gate flows, with R2 values exceeding 90% and significantly reducing the computational costs. Furthermore, various traditional machine learning algorithms comprising adaptive neuro-fuzzy inference system, genetic programing, multigene genetic programing, and one-dimensional CNN were also evaluated, and a comparison of the results showed that the developed CNN performed better than the traditional data-driven algorithms in predicting sluice gate flows. Therefore, the proposed method is a promising tool for providing rapid prediction of the spatial distribution of flow fields near the sluice, and potentially for predicting other spatially distributed hydrologic variables.
Direct-acting Antivirals for Hepatitis C and Implication for Community Pharmacy
Practice
Authors: McEntee Sara , Liu Yifei , Mahmoudi Tahar , Oliver Kathryn , Cadwell Chad 
Published: August 2023

Abstract:
The treatment options for hepatitis C have undergone noteworthy advancements since direct-acting
antivirals (DAAs) were introduced. The selection of a DAA therapy depends on the patient’s genotype, treatment
history, concomitant comorbidities, and concurrent medications. Pharmacists have a pivotal role in
providing clarification and recommendations in selecting appropriate, individualized DAAs for patients. This
commentary aims to (1) provide an overview of DAAs on the market for hepatitis C, and (2) describe the implication
for the care of patients with hepatitis C in a community pharmacy. Community pharmacists can establish
a workflow to recommend appropriate DAA therapy, identify drug interactions, and improve medication adherence
and compliance with lab appointments.
Recent Advances in the Microwave and Ultrasound-Assisted Synthesis of Pyrazole
Scaffolds
Authors: Tok Fatih , Koçyiğit-Kaymakçıoğlu Bedia 
Published: August 2023

Abstract:
Pyrazoles are well-known five-membered heterocyclic compounds and are found
in a wide variety of synthetic and natural compounds. Compounds carrying pyrazole scaffolds
exhibit a wide range of biological activities such as anticancer, antimicrobial, anticonvulsant,
antioxidant, analgesic and anti-inflammatory effects. Pharmaceuticals with many
different activities in the pyrazole structure are currently on the market (e.g., celecoxib, lonazolac,
tepoxalin, rimonabant, pyrazofurin, epirizole). The pyrazole ring contains the N-N
double bond, which is thought to have a key role in biological activity, and compounds with
this bond are difficult to produce by organisms, so their relative abundance is very low in
nature. For this reason, many studies have been carried out on this structure and it has been
revealed that the structure has a unique effect spectrum.
Microwave-assisted synthesis has opened up some new opportunities compared to conventional synthesis. It is possible
to use less solvent and reduce processing time with microwave synthesis. In addition, better selectivity and
thermal stability are provided by microwave synthesis. Ultrasound-assisted synthesis is often used to enhance conventional
solvent extraction, while microwaves reveal bioactive compounds by heating without any solvent. In the
traditional method of pyrazole synthesis; polar solvents, acidic and basic catalysts are needed in large quantities in
the synthesis of pyrazole scaffolds. This review aims to summarize the recent advancements in the synthesis methods
of a pyrazole ring with non-traditional methods. Therefore this article will provide readers with a new perspective
on the synthesis of pyrazole scaffolds as an environmentally friendly alternative.
Advancement of Computational Design Drug Delivery System in COVID- 19: Current Updates and Future Crosstalk- A Critical Update
Authors: Mohiuddin Abu , Mondal Sumanta 
Published: August 2023

Abstract:Positive strides have been achieved in developing vaccines to combat the coronavirus-2019 infection (COVID-19) pandemic. Still, the outline of variations, particularly the most current delta divergent, has posed significant health encounters for people. Therefore, developing strong treatment strategies, such as an anti-COVID-19 medicine plan, may help deal with the pandemic more effectively. During the COVID-19 pandemic, some drug design techniques were effectively used to develop and substantiate relevant critical medications. Extensive research, both experimental and computational, has been dedicated to comprehending and characterizing the devastating COVID-19 disease. The urgency of the situation has led to the publication of over 130,000 COVID-19-related research papers in peer-reviewed journals and preprint servers. A significant focus of these efforts has been the identification of novel drug candidates and the repurposing of existing drugs to combat the virus. Many projects have utilized computational or computer-aided approaches to facilitate their studies. In this overview, we will explore the key computational methods and their applications in the discovery of smallmolecule therapeutics for COVID-19, as reported in the research literature. We believe that the true effectiveness of computational tools lies in their ability to provide actionable and experimentally testable hypotheses, which in turn facilitate the discovery of new drugs and combinations thereof. Additionally, we recognize that open science and the rapid sharing of research findings are vital in expediting the development of much-needed therapeutics for COVID-19.
Identification of Active Compounds of Pueraria Lobata and their Mechanisms
of Action by LC-MS/MS and Network Pharmacology
Authors: Cao Dong-min , Liu Tao 
Published: August 2023

Background:
Osteoporosis has become a global public health problem, and Pueraria Lobata
(PL) is a potential drug for treating osteoporosis.

Methods:
Firstly, the components of PL were detected and identified based on UHPLC-Q-Exactive
Orbitrap MS. In addition, we used network pharmacology to study the potential mechanism of PL in
treating osteoporosis.

Result:
A total of 48 compounds, including 38 isoflavones, 6 puerosides, and 4 others, were identified
by UHPLC-Q Exactive-Orbitrap MS. The network of the pharmacological analysis revealed
that 28 compounds of PL regulated 19 pathways through 27 targets, including estrogen signaling
pathway and NF-kappa B signaling pathway, etc.

Conclusion:
This study used LC-MS combined with network pharmacology to identify the compounds
of PL and their mechanism of intervention in osteoporosis, which provides a scientific basis
for PL to become a functional food for preventing osteoporosis.
Curcumin as a Potential Phytoconstituent used for Cancer Treatment: An Overview
Authors: Kaur Gurleen , Bose Sujit , Kataria Tanushka , Tyagi Ankit , Singla Keshav , Sharma Sakshi , Ghosh Silpa , Jha Chandan Bhogendra 
Published: August 2023

Background::Cancer is one of the leading causes of death worldwide. Therapy for cancer has remained a challenge for a very long period of time, though developments of various treatment strategies have been introduced. However, Curcuma longa L (Turmeric) attains major attention to cure cancer due to its phytoconstituents which can be used in the treatment of various cancers. Due to the wide availability and minimal adverse effects, curcumin has become a source of significant interest in research for cancer treatment which can lead to heavy cost cut off in the treatment.Objective::In this review article, the anti-cancer properties of curcumin in the treatment of cancer are highlighted.Conclusion::Scientists from all over the world have been interested in curcumin, a polyphenol isolated from Curcuma longa, for its biological properties, the most well-known of which is its ability to fight cancer. It is one of the most promising classes of bioactive natural substances, particularly in the treatment of various cancer types. Curcumin demonstrates anticancer properties. To overcome the limitation of curcumin numerous studies, analysis, and research has been already completed and many are still going on. The use of curcumin either alone or in combination might alter the treatment of cancer.
Dashboard of Short-Term Postoperative Patient Outcomes for Anesthesiologists: Development and Preliminary Evaluation
Authors: Sreepada Rama Syamala , Chang Ai Ching , West Nicholas C , Sujan Jonath , Lai Brendan , Poznikoff Andrew K , Munk Rebecca , Froese Norbert R , Chen James C , Görges Matthias 
Published: August 2023

Background
Anesthesiologists require an understanding of their patients’ outcomes to evaluate their performance and improve their practice. Traditionally, anesthesiologists had limited information about their surgical outpatients’ outcomes due to minimal contact post discharge. Leveraging digital health innovations for analyzing personal and population outcomes may improve perioperative care. BC Children’s Hospital’s postoperative follow-up registry for outpatient surgeries collects short-term outcomes such as pain, nausea, and vomiting. Yet, these data were previously not available to anesthesiologists.

Objective
This quality improvement study aimed to visualize postoperative outcome data to allow anesthesiologists to reflect on their care and compare their performance with their peers.

Methods
The postoperative follow-up registry contains nurse-reported postoperative outcomes, including opioid and antiemetic administration in the postanesthetic care unit (PACU), and family-reported outcomes, including pain, nausea, and vomiting, within 24 hours post discharge. Dashboards were iteratively co-designed with 5 anesthesiologists, and a department-wide usability survey gathered anesthesiologists’ feedback on the dashboards, allowing further design improvements. A final dashboard version has been deployed, with data updated weekly.

Results
The dashboard contains three sections: (1) 24-hour outcomes, (2) PACU outcomes, and (3) a practice profile containing individual anesthesiologist’s case mix, grouped by age groups, sex, and surgical service. At the time of evaluation, the dashboard included 24-hour data from 7877 cases collected from September 2020 to February 2023 and PACU data from 8716 cases collected from April 2021 to February 2023. The co-design process and usability evaluation indicated that anesthesiologists preferred simpler designs for data summaries but also required the ability to explore details of specific outcomes and cases if needed. Anesthesiologists considered security and confidentiality to be key features of the design and most deemed the dashboard information useful and potentially beneficial for their practice.

Conclusions
We designed and deployed a dynamic, personalized dashboard for anesthesiologists to review their outpatients’ short-term postoperative outcomes. This dashboard facilitates personal reflection on individual practice in the context of peer and departmental performance and, hence, the opportunity to evaluate iterative practice changes. Further work is required to establish their effect on improving individual and department performance and patient outcomes.
Application of N-Acetyl-Glucosaminil-N-Acetyl-Muramyl Dipeptide during Triple Component Anti-Helicobacter Pylori Therapy in the Period of Coronavirus Infection COVID-19
Authors: Konorev M. R. , Tyshevich E. N. , Pavlyukov R. A. 
Published: August 2023

Aim: evaluation of the incidence of COVID-19 infection after three-component H. pylori eradication therapy while taking N-acetyl-glucosaminyl-N-acetyl-muramyl dipeptide (GMDP).Materials and methods. A prospective randomized comparative clinical study was carried out. The study included 208 patients (147 men, 61 women; mean age — 48.1 ± 14.5 years) with duodenal ulcer associated with Helicobacter pylori (H. pylori) who underwent eradication therapy. H. pylori in the gastric mucosa was detected by a morphological method and a rapid urease test before treatment and 6-8 weeks after the end of treatment and the withdrawal of all drugs. Patients were divided into three groups according to treatment protocols: omeprazole 0.04 g/day, clarithromycin 1 g/day, amoxicillin 2 g/day (OСA; n = 103); omeprazole 0.04 g/day, clarithromycin 1 g/day, amoxicillin 2 g/day + GMDP 0.001 g/day (OCAL1; n = 61) or 0.01 g/day (OCAL10; n = 44) for 10 days. Detection of SARS-CoV-2 RNA by PCR was carried out from April 2020 to April 2022. Tracking completeness was 96.6 %.Results. The frequency of H. pylori eradication depending on “intention to treat” (ITT) and “per protocol” (PP): OCA — 79 % (95 % CI: 71-87) and 83 % (95 % CI: 75-91); OCAL1 — 95 % (95 % CI: 88-100) and 97 % (95 % CI: 92-100); OCAL10 — 96 % (95 % CI: 89-100) and 98 % (95 % CI: 93-100) respectively. The frequency of adverse reactions depending on ITT and PP: OCA — 24 % (95 % CI: 16-33) and 26 % (95 % CI: 17-35); OCAL1 — 2 % (95 % CI: 0.01-8) and 2 % (95 % CI: 0.01-8); OCAL10 — 2 % (95 % CI: 0.01-7) and 2 % (95 % CI: 0.01-7). The incidence of COVID-19 infection depending on ITT and PP: OCA — 9 % (95 % CI: 3-14) and 9 % (95 % CI: 3-15); OCAL1 + OCAL10 — 1 % (95 % CI: 0.003-1.9) and 1 % (95 % CI: 0.001-2.9), respectively.Conclusions. In H. pylori-infected patients, GMDP (an immunomodulator based on L. bulgaricus) at a dose of 1-10 mg/day, during a 10-day triple eradication therapy, allows a significant (p < 0.05) increase in the frequency of H. pylori eradication and reduce the incidence of adverse reactions compared with a 10-day protocol without adjuvant therapy with GMDP. There was a significant (p < 0.05) decrease in the incidence of COVID-19 infection after H. pylori eradication therapy with GMDP.
Prediksi Peningkatan Jumlah Nasabah Deposito Berjangka Menggunakan Algoritma KNN, Decision Tree, Random Forest Dan Xgboost
Authors: Maulidah Nurlaelatul 
Published: August 2023

Bank merupakan sebuah lembaga keuangan yang umumnya didirikan untuk menghimpun dana dari masyarakat dalam bentuk simpanan dan menyalurkan kepada masyarakat dalam bentuk kredit atau bentuk lainnya dengan rangka meningkatkan taraf hidup rakyat banyak. Pada penelitian ini, dilakukan pengujian empat algoritma machine learning yaitu K-Nearest Neighbor (K-NN), Decision Tree, Random Forest dan XGBoost, untuk mengetahui dan membandingkan tingkat akurasi dari masing-masing algoritma tersebut dalam melakukan prediksi terhadap peningkatan jumlah nasabah deposito berjangka bank. Pada penelitian ini dataset diperoleh dari UCI Machine Learning Repository. Data yang diperoleh kemudian diproses. Dari hasil pengujian didapatkan tingkat akurasi terbaik sebesar 92,36% dengan menggunakan algoritma XGBoost.
Diagrams in the field: Three conceptual approaches in the entries for the 1979 Australian Parliament House design competition
Authors: Tipene Luke 
Published: August 2023

Compositional relationships are well established between Walter Burley Griffin and Marion Mahony Griffin’s 1912 urban plan for Canberra and the winning design by Mitchell, Giurgola and Thorp for Australia’s New Parliament House. As recognised by Andrew Hutson in 2011 and 2013, the civic-scale geometric planning features of the parliamentary triangle and land axis—from the Griffin Plan—influenced the competition brief, submitted entries, and assessors’ deliberations for the 1979 Australian Parliament House design competition. Yet, on reviewing the remaining submissions for 324 of the competition entries in the National Archives of Australia, many schemes appear to reject an apparent alignment with the geometric symbolism of the Griffin Plan.
This article surveys the lesser-known majority of competition submissions to consider other approaches to the relationship between Canberra’s urban plan and proposed parliamentary architecture, beyond the historical significance of the Griffin Plan. By comparing James Weirick’s 1989 criticism of Parliament’s remote location to Colin Rowe and Fred Koetter’s 1978 criticism of urban voids, it identifies three conceptual approaches to the problems of the site’s isolation—apparent in common characteristics across many entrants’ unique schemes. These three approaches include rejecting references to Canberra’s urban exterior with autonomous parliamentary architectural forms; internalising Canberra’s urban plan within parliamentary designs replete with symbolic gestures; or reclassifying parliamentary architecture as urban interiors for gathering places of public representation. Each approach reflects interpretations of Australia’s parliamentary democracy in different ways, and reveals risks and potential benefits for democratic practices when architecture and urban planning is employed to speak for the rights of others.
The “soft edge”: Heritage, special character, and new planning directives in Aotearoa cities
Authors: Hill Carolyn 
Published: August 2023

Divergent visions for urban form are currently contesting the future of cities in Aotearoa. Severe pressures of population growth, inadequate housing supply, and unsustainable transport systems are raising a spectrum of voices on the appropriate planning response. The heritage field is enfolded in these debates, as intensification pressures have amplified questions about the value of historic urban fabric and the planning mechanisms that sustain it. To what extent should cities’ existing areas be retained or developed, and who gets to decide?
Focusing on the “soft edge” of heritage—early suburbs valorised as “special character”—the paper traces the history of heritage-making in urban Aotearoa and its role in maintaining the ontological security of the settler state. It first explores the processes of identifying and managing historic urban forms that have gradually evolved through Aotearoa’s planning legislation, from the early town planning acts to the Resource Management Act 1991. It then analyses the tension between contemporary urban planning directions and historic places conservation, exploring the concept of “amenity,” which is implicated in both. It concludes with some avenues for deeper collaboration between planning policy and heritage-making for more spatially and culturally equitable cities.
Drawing Ground
Authors: Jones Ella , Twose Simon 
Published: August 2023

Aotearoa now recognises non-human natural entities as having personhood: Te Urewera, Whanganui Awa, Taranaki Maunga. Given the significance of this recognition, the motivation for this work is to understand the evolving relationships of humans to the living, breathing ground. To do this I engaged drawing as a thinking tool, and myself as drawer/researcher, acknowledging my lens as a Pākehā (or non-Māori). This research project reflects on this work, exploring relations to Ground in Aotearoa.

“Drawing Ground” is a design-research project conducted through abstract drawing investigations, exploring connections between Ground, as a person, and my body. The work culminates in the re-sketching of the historic Dominion Museum. The building’s solidity is dissolved and reimagined through intense, turbulent sketches, engaging with Ground beneath the building. Architectural sketch drawing was used as a tool for thinking, allowing ideas to emerge yet remain open-ended and contingent, in concert with the subject matter of the research. Sketching allowed me to explore my relationship to Ground through an active and open dialogue.
Throughout this process there was an imagined co-production, between me and Ground, through multiple drawing experiments. These highlight ways in which drawing-based design research can shift settler colonial perspectives on how we interact with Ground, how architecture might achieve reciprocity with Ground as co-drawer and delineator of space.