bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengaruh Manajemen Seni Terhadap Kualitas Pameran di Galeri Salihara Tahun 2013-2018
Authors: Ananda Dayna Fitria , Murwanti Aprina , Tridjata Caecilia 
Published: March 2024

Penelitian ini bertujuan untuk mengetahui kualitas manajemen seni dan pameran di Galeri Salihara tahun 2013-2018. Serta mengetahui faktor-faktor yang mempengaruhi manajemen seni terhadap kualitas penyelenggaraan pameran di Galeri Salihara Salihara. Penelitian ini mengunakan metode kualitatif dan kuantitatif (mixed-methods) dengan pendekatan deskriptif. Narasumber yaitu kurator Galeri Salihara dan staf Galeri Salihara. Objek dalam penelitian ini ialah manajemen pameran dan parameter kualitas pameran. Pengaturan penelitian ini dilakukan di Galeri Salihara yang beralamat di Jalan Salihara, nomor 16, Jakarta Selatan. Teknik pengumpulan data yang digunakan ialah teknik obeservasi, wawancara, studi dokumen, dan angket penilaian. Sedangkan teknik analisis data yang dipakai ialah analisis deskriptif, analisis statistik deskriptif dan analisis SWOT. Hasil penelitian menunjukkan bahwa penyelenggaraan pameran di Galeri Salihara termasuk dalam kategori baik. Galeri Salihara mempunyai kekuatan dalam menciptakan konsep dan kurasi yang baik. Namun sebagai galeri non-profit, Galeri Salihara mempunyai beberapa hambatan, salah satunya yakni aspek pendanaan. Aspek tersebut sangat penting dalam menentukan kualitas sebuah pameran.
Long-Term Outcomes of Birmingham Hip Resurfacing Arthroplasty
Authors: Molloy J. , Handford C. , Coolican J. , Molloy T. , Walter W. 
Published: March 2024

Background:
Hip resurfacing arthroplasty (HRA) provides an attractive alternative to total hip arthroplasty (THA) for the management of osteoarthritis in younger, more active patients; however, concerns persist over complications specific to HRA. The aims of this systematic review were to assess the documented long-term survival rates of the metal-on-metal BIRMINGHAM HIP Resurfacing System at a follow-up of at least 10 years and to analyze the functional outcomes and cause of failures.

Methods:
A systematic review was undertaken of all published cohort studies available in the MEDLINE, Cochrane, Embase, and PubMed research databases up to December 2021, as recommended by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Data extraction was focused on survival rates, causes of failure, and functional outcomes. Survival estimates at 10 years were pooled in a meta-analysis, with each series weighted by its variance. Causes of failure were presented as a percentage of the pooled revisions.

Results:
A total of 11 studies were identified, encompassing 3,129 cases. Across the 9 studies that had reported a mean follow-up, the mean follow-up was 11.7 years (range, 9.55 to 13.7 years). We found a pooled 10-year survival rate of 95.5% (95% confidence interval, 93.4% to 97.1%). There were 149 revisions among the studies (range, 4 to 38 revisions per study), a rate of 4.8% of the total procedures performed. The 2 main causes of revision were aseptic loosening (20.1% of revisions) and adverse reactions to metal debris (20.1%). There were no revisions for dislocation. Of the studies that reported preoperative functional scores, all reported significant improvement in mean scores postoperatively except for 1 study in which the mean Tegner activity score did not significantly improve.

Conclusions:
When performed for appropriate indications, patients undergoing an HRA with use of the BIRMINGHAM HIP Resurfacing System can expect good implant survivorship at 10 years with acceptable functional results and low rates of dislocation and infection. This systematic review, however, confirms concerns regarding adverse reactions to metal debris as a leading cause of revision.

Level of Evidence:
Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.
Data-Driven Dynamic Inversion Method for Complex Fractures in Unconventional Reservoirs
Authors: Jia Ruixue , Li Xiaoming , Ma Xiaoyong , Zhu Liang , Guo Yangdong , Song Xiaoping , Wang Pingde , Wang Jiantao 
Published: March 2024

Abstract
Hydraulic fracturing is a crucial technology for enhancing the recovery of oil and gas from unconventional reservoirs. Accurately describing fracture morphology is essential for accurately predicting production dynamics. This article proposes a new fracture inversion model based on dynamic data-driven methods, which is different from the conventional linear elastic fracture mechanics model. This method eliminates the need to consider complex mechanical mechanisms, resulting in faster simulation speeds. In the model, the fracture morphology is constrained by combining microseismic data and fracturing construction data, and the fracture tip propagation domain is introduced to characterize the multi-directionality of fracture propagation. The simulated fracture exhibits a multi-branch fracture network morphology, aligning more closely with geological understanding. In addition, the influence of microseismic signal intensity on the direction of fracture propagation is considered in this study. The general stochastic approximation (GSA) algorithm is employed to optimize the direction of fracture propagation. The proposed method is applied to both the single-stage fracturing model and the whole well fracturing model. The research findings indicate that in the single-stage fracturing model, the inverted fracture morphology aligns closely with the microseismic data, with a fitting rate of the fracturing construction curve exceeding 95%, and a microseismic data fitting rate exceeding 93%. In the whole well fracturing model, a total of 18 sections were inverted. The fitting rate between the overall fracture morphology and the microseismic data reached 90%. The simulation only took 5 minutes, demonstrating high computational efficiency and meeting the needs of large-scale engineering fracture simulation. This method can effectively support geological modeling and production dynamic prediction.
RDW: A New Predictive Indicator in Pancreatic Cystic Neoplasms.
Authors: Martlı Hüseyin Fahri , Acehan Muhammed Fatih , Er Sadettin , Şimşek Ahmet , Şahingöz Eda , Sürel Aziz Ahmet 
Published: March 2024

Abstract
Background
The incidence of pancreatic cystic neoplasms (PCN) is increasing over time. However, identifying between benign and malignant cysts remains difficult. The final diagnosis is always made by postoperative pathology, even with recommendations for cytology and endosonography.This study aimed to investigate the malignancy probability of PCNs using simple clinical and biochemical parameters.
Method
A retrospective analysis was conducted on 70 patients who underwent surgery for pancreatic cystic neoplasms. Based on postoperative pathology, patients were divided into two groups: Group A, which included those with benign or low-grade dysplasia and Group B which included those with dysplasia malignancy or high-grade dysplasia. A comparison was made between pathology results and clinical and laboratory data.
Results
Out of the 70 patients, 42 (60%) were in Group A,and 28 (40%) were in Group B. Univariate analysis revealed that age, diabetes mellitus, red cell distribution width (RDW), and albumin were examined as potential predictors of malignancy in pancreatic cystic neoplasms. In the multivariate analysis, age and RDW were established as independent variables. The AUC values of age, RDW, and the combination of age and RDW for malignancy or high-grade dysplasia were 0.798 (95% CI: 0.695-0.900), 0.801 (95% CI: 0.692-0.911), and 0.858 (95% CI: 0.771-0.944), respectively.
Conclusion
The differentiation between benign and malignant PCN can only be achieved through advanced and specialized investigations. Postoperative pathology is still the most precise means of diagnosis. Age and RDW can be used as additional criteria to select patients for endosonography and cytological evaluation, and to precisely identify patients who might need surgical intervention.
Covariate-constrained randomization in cluster randomized 2x2 factorial trials: Application to a diabetes prevention study
Authors: Siddique Juned , Li Zhehui , O’Brien Matthew J. 
Published: March 2024

Abstract

Background: Cluster randomized trials (CRTs) are randomized trials where randomization takes place at an administrative level (e.g., hospitals, clinics, or schools) rather than at the individual level. When the number of available clusters is small, researchers may not be able to rely on simple randomization to achieve balance on cluster-level covariates across treatment conditions. If these cluster-level covariates are predictive of the outcome, covariate imbalance may distort treatment effects, threaten internal validity, lead to a loss of power, and increase the variability of treatment effects. Covariate-constrained randomization (CR) is a randomization strategy designed to reduce the risk of imbalance in cluster-level covariates when performing a CRT. Existing methods for CR have been developed and evaluated for two- and multi-arm CRTs but not for factorial CRTs.
Methods: Motivated by the BEGIN study—a CRT for weight loss among patients with pre-diabetes—we develop methods for performing CR in 2x2 factorial cluster randomized trials. We apply our methods to the BEGIN study and use simulation to assess the performance of CR versus simple randomization for estimating treatment effects by varying the number of clusters, the degree to which clusters are associated with the outcome, the distribution of cluster level covariates, and analysis strategies.
Results: Compared to simple randomization of clusters, CR in the factorial setting is effective at achieving balance across cluster-level covariates between treatment conditions and provides more precise inferences. When cluster-level covariates are included in the analyses model, CR also results in greater power to detect treatment effects, but power is low compared to unadjusted analyses when the number of clusters is small.
Conclusions: CR should be used instead of simple randomization when performing factorial CRTs to avoid highly imbalanced designs and to obtain more precise inferences. Except when there are a small number of clusters, cluster-level covariates should be included in the analysis model to increase power and maintain coverage and Type 1 error rates at their nominal levels.
Waste Picking in the Age of COVID-19: An Environmental Justice Perspective
Authors: Shanmugasundaram Lalitha 
Published: March 2024

Abstract
All over the world, waste and the disposal of waste is becoming a more prominent issue, as landfills fill up and more evidence points to landfills and trash contributing to climate change and environmental degradation. In the developing world, waste pickers sort through solid waste and sell it to vendors, who will recycle the product into something consumable. The work they do is vital to climate change mitigation, as well as urban cleanliness. In a way, waste pickers, especially in India, are vehicles of environmental justice, but they are often discriminated against, subjected to inhumane working conditions, and can barely make a living. During this all, the pandemic hit, making waste pickers’ already precarious life even worse. This paper attempts to fill the gap in the academic literature by compiling a systemized literature review of the impacts of COVID-19 on waste-pickers’ lives using an environmental justice perspective. The review also uses a Feminist Political Ecology perspective to illuminate the double jeopardy that female waste pickers face in the era of COVID-19, which is often ignored in academia. Ultimately, this paper shows that COVID-19 exacerbated preexisting injustices that the waste picker community faced and created an immense burden on women. This paper will show that it is important to notice the differentiation between female and male waste picker challenges, especially at the crux of the COVID-19 pandemic. This paper has important policy implications as well as research considerations for both environmental justice and feminist political ecology scholars.
Studying the factors that affect urban road noise – Case study: El-Tahrir Street, Al-Dokki Cairo, Egypt
Authors: Alyeldin¹ R. A. , Seddiq H. , Nour Walaa , El-boshy Bahaa 
Published: March 2024

Abstract

Expanding road networks to accommodate various activities has increased urban noise pollution, adversely affecting human health and quality of life. Numerous factors, including road characteristics, traffic characteristics, surrounding buildings, and weather conditions. This study aims to monitor and analyse the effect of these factors on the noise level. Cairo is one of the most densely populated cities in the world, which has led to a high level of noise in its different areas. One of the most crowded areas in the city is El-Tahrir Street in Al-Dokki, which was selected as a case study in this research. This area is distinct by a wide range of services and activities, and it experiences high traffic volume, with up to 1,700 vehicles passing through within a 15-minute interval. This significant traffic volume is the primary driver of the elevated noise levels in the area. Traffic and noise level monitoring has been conducted using reliable equipment to study this issue. Consequently, a statistical analysis has been conducted to investigate the correlation between different factors and the noise level to determine the most influential factors that could help draw future intervention plans.
Risk factors for food insecurity and association with prenatal care utilization among women who took opioids during pregnancy
Authors: Parlberg Lindsay M. , Newman Jamie E. , Merhar Stephanie , Poindexter Brenda , DeMauro Sara , Lorch Scott , Peralta-Carcelen Myriam , Wilson-Costello Deanne , Ambalavanan Namasivayam , Limperopoulos Catherine , Mack Nicole , Davis Jonathan M. , Walsh Michele , Bann Carla M. 
Published: March 2024

Abstract
Background. Food insecurity during pregnancy is associated with poorer outcomes for both mothers and their newborns. Given the ongoing opioid crisis in the United States, mothers who take opioids during pregnancy may be at particular risk of experiencing food insecurity.
Methods. This research utilized data from 254 biological mothers of infants in the Advancing Clinical Trials in Neonatal Opioid Withdrawal Syndrome (ACT NOW) Outcomes of Babies with Opioid Exposure (OBOE) Study. We examined factors associated with food insecurity among mothers of infants with antenatal opioid exposure and their unexposed (control) counterparts. Chi-square tests and logistic regression were used to compare food insecurity by sociodemographic characteristics, opioid use, prior traumatic experiences, and housing instability. Similar analyses were conducted to examine the relationship between food insecurity during pregnancy and receipt of adequate prenatal care.
Results. Overall, 58 (23%) of the mothers screened positive for food insecurity. Food insecurity was more common among mothers who took opioids during pregnancy (28% vs. 14%; p =0.007), had public insurance (25% vs. 8%; p = 0.027), had housing instability (28% vs. 11%, p = 0.002), experienced three or more adverse experiences in their childhood (37% vs. 17%; p < 0.001), and reported physical or emotional abuse during their pregnancy (44% vs. 17%; p < 0.001). Mothers with food insecurity during pregnancy were less likely to have received adequate prenatal care (78% vs. 90%; p = 0.020). This difference remained after controlling for demographic characteristics (AOR (95% CI) = 0.39 (0.16, 1.00), p = 0.049).
Conclusions. This study adds to the body of evidence supporting the need for screening and development of interventions to address food insecurity during pregnancy, particularly among mothers of infants with antenatal opioid exposure, for which limited data are available. The findings revealed that food insecurity frequently co-occurs with housing instability and prior trauma, indicating that a multifaceted intervention incorporating principles of trauma-informed health care is needed. Although those with food insecurity are at increased risk for poor pregnancy outcomes, they were less likely to have received adequate prenatal care despite high levels of public insurance coverage among study participants, suggesting additional strategies are needed to address barriers to health care among this population.
Trial registration. The Outcomes of Babies with Opioid Exposure (OBOE) Study is registered at Clinical Trials.gov (NCT04149509) (04/11/2019).
Acute Promyelocytic Leukemia in Children Cancer Hospital Egypt
Authors: Semary Samah Fathy , Hammad Mahmoud , Yassin Dina , Elsharkawy Nahla , Soliman Sonya , Salem Sherine , Ezzat Emad , Mosa Ahmed , Ahmed Sonia 
Published: March 2024

Abstract

Background: Paediatric acute promyelocytic leukemia (APL) accounts for 5% to 15% of all myelocytic leukemia. A retrospective study of pediatric patients diagnosed and treated with APL was done from July 2012 till the end of December 2019 at CCHE, aimed to, report the prevalence, clinical features, outcomes, and risk factors causing induction failure and early deaths.
Result: Sixty-two patients were reported, age above 10, initial unsatisfactory coagulation profile, and total leukocyte count above 30 103/mm affecting the 5 years (5y) overall (OS) and event-free survival (EFS), high promyelocyte count affecting the 5y EFS. Patients received protocol adopted from COG AAML1331 protocol. Prognostic factors causing early deaths during induction are high-risk patients with initial TLC >10x103/mm and initial promyelocytic count above 30% with significant P-value. In the female gender, wild FLT3 increases the occurrence of differentiation syndrome (DS). Receiving steroids with all-trans retinoic acid (ATRA) in induction may minimize the frequency of DS. Relapse affecting the outcome, Bone marrow transplantation was done for 4 patients of the relapsed patients, with 5y OS 37%, with no significance. In the current study, forty-five patients are alive in complete remission with 5y OS of 72.5%, with 5y EFS of 69.4%, respectively.
Conclusion: pediatric APL outcome is affected by age above 10, initial unsatisfactory coagulation profile and promyelocyte count above 10%. Early death is affected by an initial leukocyte count above 10 x103/mm and, an initial promyelocytic count above 30%. Receiving steroids with ATRA may minimize the frequency of DS.
Cryo-Near-Field Photovoltage Microscopy of Heavy-Fermion Twisted Symmetric Trilayer Graphene
Authors: Koppens Frank , Batlle-Porro Sergi , Stepanov Petr , Calugaru Dumitru , Hu Haoyu , Kumar Roshan Krishna , Hesp Niels , Bernevig B. Andrei , Watanabe Kenji , Taniguchi Takashi 
Published: March 2024

Abstract
Ever since the initial experimental observation of correlated insulators and superconductivity in the flat Dirac bands of magic angle twisted bilayer graphene, a search for the microscopic description that explains its strong electronic interactions has begun. While the seemingly disagreeing electronic transport and scanning tunneling microscopy experiments suggest a dichotomy between local and extended electronic orbitals, definitive experimental evidence merging the two patterns together has been much sought after. Here, we report on the local photothermoelectric measurements in the flat electronic bands of twisted symmetric trilayer graphene (TSTG). We use a cryogenic scanning near-field optical microscope with an oscillating atomic force microscopy (AFM) tip irradiated by the infrared photons to create a nanoscopic hot spot in the planar samples, which generates a photocurrent that we probe globally. We observe a breakdown of the non-interacting Mott formalism at low temperatures (∼10K), signaling the importance of the electronic interactions. Our measurements reveal an overall negative offset of the Seebeck coefficient and significant peaks of the local photovoltage values at all positive integer fillings of the TSTG's moiré superlattice, further indicating a substantial deviation from the classical two-band semiconductor Seebeck response. We explain these observations using the interacting topological heavy-fermion model. In addition, our data reveal a spatial variation of the relative interaction strength dependent on the measured local twist angle (1.2° - 1.6°). Our findings provide experimental evidence of heavy fermion behaviour in the topological flat bands of moiré graphene and epitomize an avenue to apply local thermoelectric measurements to other strongly correlated materials in the disorder-free limit.
Temporal Trends of Polychlorinated Biphenyls (PCBs) in Ohio River Channel Catfish from 1989 to 2021
Authors: Cleves Daniel R. , Borrowdale Bridget E. , Argo D. Ryan , Hudson Ryan R. , Tewes Robert A. 
Published: March 2024

Abstract

Polychlorinated biphenyls (PCBs) are a group of long lasting synthetic compounds used in a variety of industrial and electrical applications. These compounds were discharged into the environment as a result of their production and use. They were eventually found to be toxic and ultimately banned. Prior to their ban, enough PCBs had been released into the environment to bioaccumulate in organismal tissues. The Ohio River is one of the most industrialized rivers in the world and its basin is home to over 30 million people making it relevant for the study of PCB contamination. Using a long term data set of fish tissue contaminants collected by the Ohio River Valley Water Sanitation Commission (ORSANCO), temporal trends in total PCBs (tPCBs) were assessed from 1989 to 2021 in Channel Catfish (Ictalurus punctatus), a common species targeted for consumption. These data were originally collected to support state-issued Fish Consumption Advisories (FCAs) that inform the general public regarding safe levels of fish consumption. Due to the nature of how these data were collected, inherent biases in the dataset such as body size, lipid content, location, and contaminant analytical method were identified and addressed to observe trends. Over the study period, tPCBs in Channel Catfish tissue decreased and the rate of decline decreased over time. Additionally, the proportion of FCAs that advised against fish consumption for PCBs drastically declined over time. Few peer reviewed long term trend analyses exist concerning bioaccumulation of industrial pollutants for the Ohio River. This study could serve as a framework of how to account for dataset biases when analyzing monitoring data to observe long term trends in fish tissue contaminants.
Prevalence of antibodies against adeno-associated viruses (AAVs) in Göttingen Minipigs: Implications for Gene Therapy and Xenotransplantation
Authors: Jacobsen Kirsten Rosenmay , Mota Javier , Salerno Michelle , Willis Alexis , Pitts Dennis , Denner Joachim 
Published: March 2024

Abstract

Adenovirus associated viruses (AAV) are well established in clinical trials for in vivo gene therapy. The AAV vector has unique features that are beneficial in clinical applications including broad tropism, low immunogenicity, ease of production, it is non-pathogenic, rarely integrates into the host chromosome and results in long-term expression of the transgene. Göttingen Minipigs are a well-established animal model for several diseases and can be used for efficacy and safety testing of AAV based gene therapy. Antibodies against AAV may influence the results and therefore the animals should be tested beforehand for the presence of antibodies against AAV. The detection of AAV in pig breeds is also important for the virus safety of xenotransplantation. Although the contribution of AAVs to diseases in humans is still under discussion, it cannot be excluded that transfer of AAVs from the donor may result in disease. When we screened Göttingen Minipigs from Ellegaard Göttingen Minipigs A/S, Denmark, and Marshall BioResources, USA, for AAV1, AAV2, AAV6, AAV9, only low titers of neutralizing antibodies (NAb) were detected despite higher titers of total antibodies (TAb). This data indicates that Göttingen Minipigs are well suited for gene therapy studies as well as for xenotransplantation.