bluuebunny/crossref_metadata_2025_split huggingface dataset:
3D Woven Liquid Metals for High-Frequency Stretchable Circuits
Authors: Rahman Md Saifur , Tiwari Anand P. , Agnew Simon A. , Scheideler William J. 
Published: January 2024

Abstract
Mechanically flexible and stretchable inductive coils are a critical component for enabling communication, sensing, and wireless power transfer capabilities in future wearable electronic devices that conform to the body for healthcare and the Internet of Things (IoT) applications. However, the mechanical conformability of leading stretchable materials such as liquid metals (LMs) sacrifices electromagnetic performance since conductivity lags behind conventional rigid Cu wires, leading to lossy radio-frequency (RF) characteristics. Here, we present a strategy leveraging multistranded three-dimensional (3D) woven 'litz' transmission lines to amplify the resonant RF performance of LM inductors. Through comprehensive simulations and experiments, we discovered that interwoven LM litz wires boost the Quality Factor (Q) by 80 % compared to standard liquid metal wires. We also demonstrate a fabrication methodology for stretchable coils that retain high Q (>30), outperforming the previously reported LM coils and maintaining 98 % of their wireless transmission efficiency under up to 30 % biaxial strain. Moreover, we showcase the versatility of this approach by 3D printing four-terminal 'choke' inductors optimized for RF filtering and inductance tunability, overcoming the fabrication limitations of traditional planar printed electronics. These results offer valuable insights into the design and implementation of 3D-printed magnetics for a diverse suite of electromagnetic device applications.
Meteorological characteristics of line-shaped rainbands in northern Japan and its surrounding seas under climate change
Authors: Ohya Yuta , Yamada Tomohito J. 
Published: January 2024

Abstract

In recent years, line-shaped rainbands (LRBs) have increased in Hokkaido, Japan. LRBs caused several flood disasters historically, thus the weather patterns that cause them need to be investigated. This study aimed to understand statistically the relationship between LRBs and weather patterns during the summer months under climate change conditions. Our study investigates the link between LRBs and weather patterns in Hokkaido during July and August, using historical and climate prediction models. With a 2°/4° global temperature rise, LRB occurrences in this region increase by approximately 1.51/2.07 times. The highest occurrences of LRBs correlate with increased water vapor flux from the south and positive pressure anomalies over the Pacific Ocean. Three main weather patterns contribute significantly to LRBs: (1) a nearby low-pressure system, (2) a strengthening Pacific High frontal pattern, and (3) approaching or landing typhoons in Hokkaido. These patterns double the LRB occurrence probability, a trait observed across past and projected climates (+2K and +4K experiments). These are important insights for future flood risk management.
Understanding the impact of population dynamics on water use utilizing multi-source big data
Authors: Zhou Guihuan , Li Zhanjie , Wang Wei , Wang Qianyang , Yu Jingshan 
Published: January 2024

AbstractPopulation movement, such as commuting, can affect water supply pressure and efficiency in modern cities. However, there is a gap in the research concerning the relationship between water use and population mobility, which is of great significance for urban sustainable development. In this study, we analyzed the spatial–temporal dynamics of the population and its underlying mechanisms, using multi-source geospatial big data, including Baidu heat maps (BHMs), land use parcels, and point of interest. Combined with water consumption, sewage volume, and river depth data, the impact of population dynamics on water use was investigated. The results showed that there were obvious differences in population dynamics between weekdays and weekends with a ratio of 1.11 for the total population. Spatially, the population concentration was mainly observed in areas associated with enterprises, industries, shopping, and leisure activities during the daytime, while at nighttime, it primarily centered around residential areas. Moreover, the population showed a significant impact on water use, resulting in co-periods of 24 h and 7 days, and the water consumption as well as the wastewater production were observed to be proportional to the population density. This study can offer valuable implications for urban water resource allocation strategies.
Selection of representative general circulation models under climatic uncertainty for Western North America
Authors: Mahjour Seyed Kourosh , Liguori Giovanni , Faroughi Salah A. 
Published: January 2024

Abstract
Climate change research uses an ensemble of general circulation model runs (GCMs-runs) to predict future climate under uncertainties. To reduce computational costs, this study selects representative GCM-runs (RGCM-runs) for Western North America (WNA) based on their performance in replicating historical climate conditions from 1981 to 2005 and projecting future changes from 1981–2010 to 2071–2100. This evaluation is conducted under two representative concentration pathways (RCPs) scenarios, RCP4.5 and RCP8.5, from the Coupled Model Intercomparison Project 5. By using an envelope-based selection technique and a multi-objective distance-based approach, we identify four RGCM-runs per RCP representing diverse climatic conditions, including wet-warm, wet-cold, dry-warm, and dry-cold. Compared to the full-set, these selected runs show a decreased mean absolute error (MAE) between the reference and RGCM-runs concerning the monthly average mean air temperature (T̄) and precipitation (P̄). For RCP4.5, T̄ MAE is 0.45 (vs. 0.58 in the full-set) and P̄ MAE is 0.31 (vs. 0.42). For RCP8.5, T̄ MAE is 0.51 (vs. 0.75) and P̄ MAE is 0.25 (vs. 0.36). The lower MAE values in the RGCM-run set indicate closer alignment between predicted and reference values, making the RGCM-run suitable for climate impact assessments in the region.
Lithological exploration for potable water lens in the Indus Delta and their connectivity with freshwater seepage and environment
Authors: Abro Zia-uddin , Shah Sabab Ali , Qureshi Abdul Latif , Soomro Asadullah , Jamali Muhammad Afzal , Kim Tae-Woong , Alharbi Raied Saad , Rahim Siti Azira Abd 
Published: January 2024

Abstract
The world's seventh-largest Indus Delta is gripped to extinction due to a continuous shortage of Indus River flows. The drastic fall in the ecology and coastal habitat due to the lack of freshwater flows, and the land degradation due to seawater intrusion is a simultaneous creeping hazard. The study aims to explore the potable water lens and their possible connection with seepage from freshwater bodies (rivers/ canals) to sustain them for drinking and agriculture use of 2 million populations. The study employed the electrical resistivity survey and 10 selected points along the Indus River at depths up to 300 m to baseline the rock type and groundwater quality; and drilling of bore logs at a maximum depth of 25 m. The result confirms the availability of two sandstone layers with marginal freshwater along the river and in some pockets; however brackish water was observed along the coast in a limestone formation. It is evident from the results that surface seepage from the Indus River and non-perennial ‘Pinyari’ canal has a progressive influence on the improvement of groundwater quality and confinement of seawater intrusion.
Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review
Authors: Yim Dobin , Khuntia Jiban , Parameswaran Vijaya , Meyers Arlen 
Published: January 2024

BackgroundGenerative artificial intelligence tools and applications (GenAI) are being increasingly used in health care. Physicians, specialists, and other providers have started primarily using GenAI as an aid or tool to gather knowledge, provide information, train, or generate suggestive dialogue between physicians and patients or between physicians and patients’ families or friends. However, unless the use of GenAI is oriented to be helpful in clinical service encounters that can improve the accuracy of diagnosis, treatment, and patient outcomes, the expected potential will not be achieved. As adoption continues, it is essential to validate the effectiveness of the infusion of GenAI as an intelligent technology in service encounters to understand the gap in actual clinical service use of GenAI.ObjectiveThis study synthesizes preliminary evidence on how GenAI assists, guides, and automates clinical service rendering and encounters in health care The review scope was limited to articles published in peer-reviewed medical journals.MethodsWe screened and selected 0.38% (161/42,459) of articles published between January 1, 2020, and May 31, 2023, identified from PubMed. We followed the protocols outlined in the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to select highly relevant studies with at least 1 element on clinical use, evaluation, and validation to provide evidence of GenAI use in clinical services. The articles were classified based on their relevance to clinical service functions or activities using the descriptive and analytical information presented in the articles.ResultsOf 161 articles, 141 (87.6%) reported using GenAI to assist services through knowledge access, collation, and filtering. GenAI was used for disease detection (19/161, 11.8%), diagnosis (14/161, 8.7%), and screening processes (12/161, 7.5%) in the areas of radiology (17/161, 10.6%), cardiology (12/161, 7.5%), gastrointestinal medicine (4/161, 2.5%), and diabetes (6/161, 3.7%). The literature synthesis in this study suggests that GenAI is mainly used for diagnostic processes, improvement of diagnosis accuracy, and screening and diagnostic purposes using knowledge access. Although this solves the problem of knowledge access and may improve diagnostic accuracy, it is oriented toward higher value creation in health care.ConclusionsGenAI informs rather than assisting or automating clinical service functions in health care. There is potential in clinical service, but it has yet to be actualized for GenAI. More clinical service–level evidence that GenAI is used to streamline some functions or provides more automated help than only information retrieval is needed. To transform health care as purported, more studies related to GenAI applications must automate and guide human-performed services and keep up with the optimism that forward-thinking health care organizations will take advantage of GenAI.
Determinants of Zakat Compliance among Business Owners in Indonesia
Authors: Bonang Dahlia , Baihaqi Muhammad , Pusparini Martini Dwi 
Published: January 2024

This study aims to identify the factors that affect the compliance of Indonesian business owners with zakat payments. Data were collected from 205 individuals using a purposive sampling technique through an online survey. The results of the data analysis, conducted using Structural Equation Modeling (SEM), indicate that social piety, zakat literacy, Islamic egalitarianism, and moral norms significantly influence the intentions and compliance of business owners regarding zakat payments. These factors play a crucial role in shaping the intentions and behaviors of business owners concerning their zakat obligations. The findings offer valuable insights for both business owners and policymakers in efforts to improve compliance with zakat payments, which ultimately contributes to economic sustainability and social justice. Business owners can utilize these results to enhance their understanding of zakat obligations, thereby increasing their compliance. For policymakers, the results can serve as a foundation for designing more effective strategies to encourage compliance among business owners, such as implementing zakat literacy programs, socialization activities, and approaches that reinforce the values of egalitarianism and moral norms within the context of zakat.============================================================================================================ABSTRAK – Determinan Kepatuhan Zakat Para Pemilik Bisnis di Indonesia. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang mempengaruhi kepatuhan pemilik bisnis Indonesia dalam membayar zakat. Data dikumpulkan dari 205 individu menggunakan teknik sampling purposif melalui survey online. Hasil analisis data dengan Structural Equation Modeling (SEM) menunjukkan bahwa kesalehan sosial, literasi zakat, egalitarianisme Islam, dan norma moral memiliki pengaruh signifikan terhadap intensi dan kepatuhan pemilik bisnis dalam membayar zakat. Faktor-faktor ini memainkan peran penting dalam membentuk niat dan perilaku pemilik bisnis terkait dengan kewajiban zakat. Temuan ini memberikan wawasan yang berharga bagi pemilik bisnis dan pembuat kebijakan dalam upaya meningkatkan kepatuhan pembayaran zakat, yang pada akhirnya berkontribusi pada keberlanjutan ekonomi dan keadilan sosial. Pemilik bisnis di Indonesia dapat menggunakan hasil kajian ini untuk meningkatkan pemahaman mereka tentang kewajiban zakat, sehingga meningkatkan kepatuhan mereka dalam membayar zakat. Bagi pembuat kebijakan, temuan ini dapat dijadikan sebagai dasar untuk merancang strategi yang lebih efektif yang dapat mendorong kepatuhan pemilik bisnis dalam membayar zakat, seperti program literasi zakat, aktivitas sosialisasi, dan pendekatan yang memperkuat nilai-nilai egalitarianisme dan norma moral dalam konteks zakat.
Targeting PEAK1 sensitizes anaplastic thyroid carcinoma 8505C cells to BRAFV600E inhibitor Vemurafenib in vitro
Authors: hao fengyun , zhang kejun , ning liang , sun chong 
Published: January 2024

Vemurafenib, one of the selective BRAF inhibitor, is less effective in
BRAF-mutant thyroid cancer, including anaplastic thyroid cancer (ATC),
the mechanisms of which are still lacking. Pseudopodium-enriched
atypical kinase 1 (PEAK1) has been demonstrated to be upregulated in
human malignancies. Enhanced PEAK1 expression facilitates tumor cell
survival and chemoresistance. Here we investigated the role and
mechanisms of targeting PEAK1 in reversing vemurafenib resistance in ATC
8505C cells. PEAK1 depletion alone promotes cell cycle arrest, but not
affect cell apoptosis.PEAK1 depletion sensitized 8505C cells to
vemurafenib by promoting cell cycle arrest and inducing cell apoptosis.
Vemurafenib could quickly inhibit ERK phosphorylation (pERK1/2), but
quickly reactivate pERK1/2 in 8505C cells. Vemurafenib could only
quickly activate AKT phosphorylation (pAKT) and slightly activate
phosphorylation JNK1/2(pJNK1/2). However, vemurafenib in combination
with PEAK1 deletion inhibited reactivation of pERK1/2 and pAKT
activation, and promoted pJNK1/2. Vemurafenib transiently and slightly
upregulated pro-apoptotic PUMA and Bim expression, which was quickly
disappeared with long time vemurafenib treatment. Combined PEAK1
depletion and Vemurafenib treatment upregulated JNK1/2-dependant Bim and
AKT-dependant PUMA expression. PUMA and Bim upregulation is critical for
vemurafenib induced apoptosis in presence of PEAK1 deletion. Vemurafenib
resistance in 8505C cells is associated with PEAK1 activation, pERK1/2
re-activation, pJNK1/2 inactivation and AKT activation, resulting in the
inhibition of AKT-dependent PUMA and pERK1/2-pJNK1/2-dependent Bim
expression. PEAK1 depletion could inhibited both ERK1/2 and AKT signal
and released PUMA and Bim from vemurafenib-treated cells, resulting in
the enhancing cell apoptosis. Therefore, targeting PEAK1 may be an
effective strategy to sensitize BRAF-mutant ATC to vemurafenib.
Pharmacokinetics of Cefoperazone/sulbactam in Critically Ill Thrombotic Thrombocytopenic Purpura Patients Undergoing Therapeutic Plasma Exchange
Authors: Li Haitao , Gao Chunlu , Fan Shengjin , Zhang gensheng , Hai Xin , Zhou Jin 
Published: January 2024

AIMS The aim of this study was to investigate the pharmacokinetics
of CFP and SUL in critically ill thrombotic thrombocytopenic purpura
(TTP) patients undergoing TPE. METHODS Critically ill TTP patients
receiving a dose of 3 g CFP/SUL (2.0 g/1.0 g) intravenously every 8 h
were included in the study. Serial blood samples were collected at 0, 1,
2, 3, 4, 6, and 8 h at the third infusion with TPE (Session I) and the
sixth infusion without TPE (Session II). Effluent samples were also
collected at the effluent port of plasma eliminated during TPE.
Concentrations of CFP and SUL in plasma and effluent were measured using
LC/MS/MS. RESULTS Specific pharmacokinetic parameters were calculated to
evaluate the effect of TPE on CFP and SUL. The amount of drug eliminated
during TPE (QPE) were 395.75±147.38 and 35.25±11.32 mg, respectively.
Percentage eliminated by TPE (fe%) were 11.38±3.18% and 2.74±1.13%,
respectively. Calculated percentages of total drug clearance by TPE
(%CLPE) were 27.71±10.8% and 6.16±2.16%, respectively. There were no
significant differences in pharmacokinetic parameters (AUC0-8, Vd,
T1/2a) between session I and session II for both CFP and SUL.
CONCLUSIONS A single plasma volume TPE does not remove clinically
significant amounts of CFP and SUL. Dosage adjustment in critically ill
TTP patients after the procedure is not necessary. CFP is more likely to
be removed than SUL during TPE due to its small Vd and high protein
binding (Pb). Elevated plasma drug concentration due to organ
dysfunction may permit more drug removal during TPE.
A Real-World Prospective Study of the Effectiveness and Safety of Automated Insulin Delivery Compared With Other Modalities of Type 1 Diabetes Treatment During Ramadan Intermittent Fasting
Authors: Al-Sofiani Mohammed E. , Alharthi Sahar , Albunyan Sarah , Alzaman Naweed , Klonoff David C. , Alguwaihes Abdullah 
Published: January 2024

OBJECTIVE
To compare the fasting experience and glycemic control during Ramadan among people with type 1 diabetes (PWT1D) who use automated insulin delivery (AID) versus other modalities of treatment.

RESEARCH DESIGN AND METHODS
A total of 294 PWT1D who attempted fasting during Ramadan in 2022 were categorized on the basis of treatment modality into one of five groups: 1) AID (n = 62); 2) conventional pump + continuous glucose monitoring (CGM; n = 37); 3) pump + self-monitoring of blood glucose (SMBG; n = 8); 4) multiple daily injections (MDI) + CGM (n = 155); and 5) MDI + SMBG (n = 32). Predictors of fasting most days of Ramadan (i.e., breaking fast ≤2 days because of diabetes) were analyzed using uni- and multivariable logistic regression.

RESULTS
The median numbers of days when fasting was broken because of diabetes were 2, 5, 3, 3.5, and 2.5 for AID, conventional pump + CGM, MDI + CGM, pump + SMBG, and MDI + SMBG users, respectively (P = 0.047). Users of AID had a significantly greater time in range (TIR) and lower glycemia risk index, time below range, and time above range compared with users of conventional pumps and MDI (both P &lt; 0.05). Likewise, 53% of AID users attained the double target of 1) breaking fast ≤2 days because of diabetes and 2) maintaining TIR ≥70% during Ramadan compared with only 3% of the conventional pump users and 44% of the MDI + CGM users (both P &lt; 0.05). Compared with MDI + CGM users, AID users were twice as likely to complete fasting most days of Ramadan.

CONCLUSIONS
Use of AID is associated with the highest rates of fasting and best glycemic control during Ramadan fasting.
ANALISIS RANTAI PASOK SAYURAN HIDROPONIK DI KOTA BANDAR LAMPUNG (Studi Kasus pada Merek Sahabat Hidroponik dan Sayuran Kita)
Authors: Utami Nike Margie , Adawiyah Rabiatul , Endaryanto Teguh 
Published: January 2024

The horticultural subsector is still a special concern in the context of developing agribusiness with the development of hydroponic vegetable producers in Bandar Lampung City. However, the supply process experiences constraints related to product inventory, product quality, and unpredictable demand. Supply chain is an approach to solve problems that occur. Based on this description, this study aims to analyze product flow, money flow, information flow, and supply chain conditions of Sahabat Hidroponik and Sayuran Kita. The research was carried out in April - July 2022 using the case study method. Respondents in this study were 18 people consisting of producers (producer farmer partners, Sahabat Hidroponik and Sayuran Kita), retail (supermarkets) and consumers. The data analysis used was descriptive qualitative with the Food Supply Chain Network (FSCN) model. The flow of products, the flow of money and the flow of information that occurs in hydroponic vegetable producers Sahabat Hidroponik and Sayuran Kita are already doing well between producer farmer partners, producers, retailers, and consumers. However, the flow of money to some perpetrators has not been effective. The conditions of the hydroponic vegetable supply chain of Sahabat Hidroponik and Sayuran Kita have shown in quite good conditions. However, the contractual agreements and transaction systems on some actors have not gone well. Key word : FSCN, hydroponic vagetables, supply chain, supply chain flow
The Effect of Price, Product Quality, and Word of Mouth on Purchasing Decisions for Coffee Drinks (Study on Consumers at Sekala Coffee Madiun)
Authors: Pramurdjito Okky Ihzan Satria , Yuliati Nuriah , Laily Dona Wahyuning 
Published: January 2024

The development of coffee consumption has also encouraged many new coffee shop businesses to emerge. So that it results in competition in the coffee shop business. This has led to a decline in sales experienced by Sekala Coffee Madiun. The goal of this study was to examine how consumers at the Sekala Coffee Madiun choose their coffee beverages based on price, product quality, and word-of-mouth recommendations. All customers who had purchased coffee beverages at Sekala Coffee Madiun comprised the study's population. Meanwhile, the sample used in this research was 75 people who had bought coffee drink products at Sekala Coffee Madiun. The method of sampling employed the Accidental sampling method. In this study, primary data and secondary data were collected. The data analysis method used in this research is component-based Structural Equation Model (SEM) analysis using PLS which was chosen as the analysis tool with the help of the SmartPLS 3. The study's findings suggested that the price variable has no impact on consumers' choices. Meanwhile, the product quality variable has a significant influence on purchasing decisions. Likewise, the word-of-mouth variable has an influence and is significant on purchasing decisions. Key words: Price, Product Quality, Word of Mouth, Decision to Purchase.