bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mapping the unseen: Dissecting property crime dynamics in urban Malaysia through spatial analysis
Authors: Ahmad Azizul , Masron Tarmiji , Junaini Syahrul Nizam , Kimura Yoshinari , Barawi Mohamad Hardyman , Jubit Norita , Redzuan Mohd Sofian , Bismelah Luqman Haqim , Ali Asykal Syakinah Mohd 
Published: June 2024

AbstractExtensive research over the years has illuminated how urban land use and development intricately influence property crime dynamics. Yet, there remains a notable paucity of simultaneous explorations of spatial–temporal patterns and their correlation with urban geography. This study aims to bridge this gap by employing advanced spatial analytical techniques, providing a nuanced understanding of how property crime is distributed and how it evolves within the urban fabric of Malaysia. This research rigorously investigates the spatial–temporal patterns of property crime within the urban context of Kuala Lumpur and Selangor in Malaysia, utilizing a novel combination of mean center and standard deviational ellipse methodologies. Concentrating on the regions of Selangor, the Federal Territory of Kuala Lumpur, and the Federal Territory of Putrajaya, the study meticulously analyzes property crime data spanning from 2015 to 2020. This analysis uncovers pivotal insights into the distribution and trends of criminal activities. The integration of these spatial analytical techniques not only facilitates the identification of prevalent hotspots and directional tendencies in property crimes but also probes into their association with urban land use and developmental patterns. The outcomes of this study shed light on the intricate interplay between the incidence of crime and urban spatial configurations, thereby yielding significant theoretical and practical ramifications. The research makes a substantial contribution to the disciplines of criminological geography and urban planning, underscoring the indispensable role of advanced spatial analysis in devising robust crime prevention mechanisms and bolstering the safety of urban environments.
Hepatitis B transmission/reactivation associated with Hepatitis B core antibody and Hepatitis C nucleic acid testing positive organs: A report from the Organ Procurement and Transplantation Network Disease Transmission Advisory Committee
Authors: Te Helen S. , Lee Dong Heun , Woolley Ann E. , Abidi Maheen Z. , Fisher Cynthia , Sellers Marty T. , Taimur Sarah , Livelli Taylor , Watkins Tamika , Handarova Dzhuliyana , Berry Gerald J. , Graves Riki , Ho Chak‐Sum , Hughart Anna L. , Kittleson Michelle , Marboe Charles C. , Miller Rachel A. , Sharma Tanvi S. , Trindade Anil J. , Wood R. Patrick , Zaffiri Lorenzo N. , Pouch Stephanie M. , Danziger‐Isakov Lara 
Published: June 2024

AbstractBackgroundBetter access to direct‐acting antiviral (DAA) therapy has broadened the utilization of hepatitis C virus (HCV) nucleic acid testing (NAT) positive organs with excellent outcomes. However, DAA therapy has been associated with hepatitis B virus (HBV) reactivation.AimTo determine the risk of HBV transmission or reactivation with utilization of HBV core antibody positive (HBcAb+) and HCV NAT positive (HCV+) organs, which presumably required DAA therapy.MethodsThe number of HBcAb+ donors with delineated HCV NAT status was obtained from the Organ Procurement and Transplantation Network (OPTN) database. The number of unexpected HBV infections from transplanted organs adjudicated as “proven” or “probable” transmission was obtained from the OPTN Ad Hoc Disease Transmission Advisory Committee database. A chart review of the donors of “proven” or “probable” cases was conducted.ResultsFrom January 1, 2016, to December 31, 2021, 7735 organs were procured from 3767 HBcAb+ donors and transplanted into 7469 recipients; 545 (14.5%) donors were also HCV+. HBV transmission or reactivation occurred in seven recipients. The rate is not significantly different between recipients of HCV+ (0.18%, 2/1115) and the HCV NAT negative (HCV‐) organs (0.08%, 5/6354) (p = 0.28) or between recipients of HCV+ and HCV‐ livers as well as non‐liver organs. HBV transmission or reactivation occurred within a median of 319 (range, 41–1117) days post‐transplant in the setting of missing, inadequate, or truncated prophylaxis.ConclusionHBV reactivation associated with DAA therapy for HBcAb+ HCV+ organs is less frequent than reported in the non‐transplant population, possibly due to the common use of HBV prophylaxis in the at‐risk transplant population.
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Donor‐derived infections in the United States: Opportunities to learn from the Disease Transmission Advisory Committee's experience
Authors: Danziger‐Isakov Lara , La Hoz Ricardo M , Wolfe Cameron R , Blumberg Emily A 
Published: June 2024

AbstractThe Disease Transmission Advisory Committee (DTAC) of the Organ Procurement and Transplantation Network focuses on issues related to the transmission of disease through organ transplantation. Providing a review of potential cases of transmission, translating aggregate data into actionable education and guidance for the transplant community, and providing input for policy development, DTAC aims to improve the safety of organ transplantation through a reduction in donor‐derived transmission events. Through its nearly 20‐year history, DTAC has provided education, guidance, and policy, addressed numerous emerging infections, and continuously focused on the community's understanding of risk assessment related to donor‐derived transmission. By updating the DTAC mission to both decrease transmission and safely expand the donor pool with additional guidance to safely use organs previously not considered for transplantation due to transmission concerns, the Committee's role will remain critical.
Resilient Circularity in Manufacturing: Synergies Between Circular Economy and Reconfigurable Manufacturing
Authors: Hassan Hadear , Bushagour Amira , Layton Astrid 
Published: June 2024

Abstract
Reconfigurability in manufacturing signifies a system's capacity to promptly adapt to evolving needs. This adaptability is critical for markets to maintain operations during unexpected disruptions, including weather anomalies, cyber-attacks, and physical obstructions. Concurrently, the concept of a circular economy is gaining popularity in manufacturing to mitigate waste and optimize resource utilization. Circular economy principles aim to reduce environmental impacts while maximizing economic benefits by emphasizing the reuse of goods and resource byproducts. The nexus between reconfigurability and the circular economy stems from their shared pursuit of sustainability and resilience. Interestingly, biological ecosystems also exhibit these traits, showcasing exceptional adaptability to disturbances alongside the ability to effectively utilize available resources during normal operations. This study explores various manufacturing system configurations to assess both their adaptability and connection to circular economy principles. Forty-four configurations are categorized based on layout (e.g., job shop, flow line, cellular) and analyzed using convertibility, cyclicity, and degree of system order metrics. A significant positive correlation (R2 = 0.655) is found between high convertibility and ecologically similar levels of structural cycling, suggesting that effective resource utilization supports adaptability in manufacturing systems. Furthermore, this paper proposes the existence of a possible “window of vitality” for cyclicity, as it demonstrates a significant correlation (R2 = 0.855) between the degree of system order and cyclicity. Identifying systems that strike a balance between redundancy, efficiency, convertibility, and cyclicity can aid manufacturing system designers and decision-makers in making choices that address increasing requirements for both sustainability and resilience.
Optimized Design and Simulation Study of Liquid-Cooled Heat Sink Model for IGBT Module Based on TPMS Structure
Authors: Wei Fuyin , Sun Xianglong , Lv Zhuopei , Cai Lixiang , Zhai Feiqi , Kong Chenyang , Shi Jianping , Zhang Hua 
Published: June 2024

Abstract
In this article, we propose a liquid-cooled heat sink model utilizing a triple periodic minimal surface (TPMS) structure for insulated gate bipolar transistor (IGBT) modules. By using parametric modeling software ntopology, we establish the following three TPMS structures: Schwarz P, Gyroid, and Diamond. Thermal simulation analysis is conducted on the radiator model using ansys fluent. The optimal structural parameters are determined to ensure effective heat dissipation while preventing excessive pump power consumption due to inappropriate inlet flowrates. Simulation results demonstrate that the liquid-cooled radiator with the TPMS structure outperforms conventional radiators in heat transfer efficiency, albeit with higher inlet and outlet pressure drops. Among the TPMS-structured radiators, the Schwarz P configuration exhibits the lowest pressure drop, approximately 20% less than the remaining two, offering superior thermal management advantages.
In Situ Power–Cadence Relationship for 2-, 5-, and 20-Minute Duration: A Proof of Concept in Under-19 Cyclists
Authors: Bertron Yann , Bowen Maximilien , Samozino Pierre , Leo Peter , Pacot Alexandre , Quiclet Jean-Baptiste , Hintzy Frédérique , Morel Baptiste 
Published: June 2024

Background: The force–velocity relationship suggests that maximal power (Pmax) can only be produced in optimal torque (Topt) and cadence (Copt). However, the cadence at which mean maximal power (MMP) is produced has never been studied. This study aimed to determine the individual MMP–cadence relationship from in situ data. Method: We analyzed 1 year of data from 14 under-19 cyclists and calculated the MMP for each cadence between 50 and 120 rpm for 2-, 5-, and 20-minute durations. The MMP–cadence relationship was fit with a second-order polynomial function. The goodness of fit (r2) and odd-day–even-day absolute and relative reliability were evaluated, respectively, for Pmax, Topt, and Copt. Results: The goodness of fit was very high for every duration studied. Topt and Pmax, but not Copt, were significantly higher for shorter durations. Pmax was significantly correlated only with Topt for the 3 durations (r2 = .63, .71, and .64 for 2, 5, and 20 min, respectively). Discussion: Evaluation of the MMP–cadence relationship from in situ data is feasible and reliable for 2-, 5-, and 20-minute durations. This profiling approach would enable better detection of the strengths and weaknesses of cyclists and make it possible to design more effective training interventions. Practical Applications: The analysis makes it possible to identify the torque versus cadence component that individually limits power production. Knowing the Copt for a given duration of maximal effort could help athletes choose the right gear ratio and regulate cadence during a race in order to maximize performance.
Supplemental Material: Tracking the porphyry-epithermal mineralization transition using U-Pb carbonate dating
Authors: Mottram Catherine , al. et 
Published: June 2024

<p>Table S1 contains a summary of sample textures, grain size, associated minerals, and ages. Table S2 contains U-Pb data table. Supplemental material includes S1: Sample locations; S2: Analytical methods; S3: detailed sample descriptions and U-Pb data; and S4: supplementary references for Figure 1. </p>
Synthesis of guidance available for assessing methodological quality and grading of evidence from qualitative research to inform clinical recommendations: a systematic literature review
Authors: Sekhon Mandeep , de Thurah Annette , Fragoulis George E , Schoones Jan , Stamm Tanja A , Vliet Vlieland Theodora P M , Esbensen Bente Appel , Lempp Heidi , Bearne Lindsay , Kouloumas Marios , Pchelnikova Polina , Swinnen Thijs Willem , Blunt Chris , Ferreira Ricardo J O , Carmona Loreto , Nikiphorou Elena 
Published: June 2024

ObjectiveTo understand (1) what guidance exists to assess the methodological quality of qualitative research; (2) what methods exist to grade levels of evidence from qualitative research to inform recommendations within European Alliance of Associations for Rheumatology (EULAR).MethodsA systematic literature review was performed in multiple databases including PubMed/Medline, EMBASE, Web of Science, COCHRANE and PsycINFO, from inception to 23 October 2020. Eligible studies included primary articles and guideline documents available in English, describing the: (1) development; (2) application of validated tools (eg, checklists); (3) guidance on assessing methodological quality of qualitative research and (4) guidance on grading levels of qualitative evidence. A narrative synthesis was conducted to identify key similarities between included studies.ResultsOf 9073 records retrieved, 51 went through to full-manuscript review, with 15 selected for inclusion. Six articles described methodological tools to assess the quality of qualitative research. The tools evaluated research design, recruitment, ethical rigour, data collection and analysis. Seven articles described one approach, focusing on four key components to determine how much confidence to place in findings from systematic reviews of qualitative research. Two articles focused on grading levels of clinical recommendations based on qualitative evidence; one described a qualitative evidence hierarchy, and another a research pyramid.ConclusionThere is a lack of consensus on the use of tools, checklists and approaches suitable for appraising the methodological quality of qualitative research and the grading of qualitative evidence to inform clinical practice. This work is expected to facilitate the inclusion of qualitative evidence in the process of developing recommendations at EULAR level.
Investigation of the Penetration Capability of Exponential Bullets into Two Typical TPMS Lattice Structures
Authors: Hao Bo , Jiang Qi , Zhang Ziwen , Lu Yuangen 
Published: June 2024

The TPMS lattice structure is widely utilized in the military UAV, and effectively striking the TPMS structure holds significant reference value in bullet design. This paper conducts a numerical simulation to study the penetration performance of exponential curve bullets with varying power exponents on the TPMS structures of Gyroid and Diamond. MATLAB is employed to design the TPMS lattice structure, and ABAQUS is used for numerical simulation. The results indicate that the velocity reduction rate of the bullet initially increases and then decreases with an increase in power exponent. Moreover, a larger power exponent leads to a smaller residual velocity and kinetic energy of the bullet. Different cell structures have a substantial impact on residual kinetic energy, with the Gyroid structure exhibiting significantly greater residual kinetic energy compared to the Diamond structure, resulting in an average kinetic energy difference of 15.429[Formula: see text]J. The research shows that the curve of the arc part of the warhead has a great influence on the penetration performance. When designing the bullet used to hit the military UAV, the warhead with a large curvature change within a certain range can be considered.
Distributed Computing Column 87
Distributed and Algorithmic Thinking across Domains
Authors: Alistarh Dan 
Published: June 2024

Overview. One of the goals of the column is to stimulate and publicise results by the younger generation of Distributed Computing researchers. In this spirit, this month we go into more depth into one of the two theses highlighted by the Doctoral Dissertation Award, by Dr. Siddartha Jayanti. (Unfortunately, the other 2023 recipient, Dr. Dean Leitersdorf, could not contribute this time, due to outside constraints.)
Dr. Siddartha Jayanti's thesis comprises novel results in the scope of distributed and concurrent synchronization. The thesis, and Siddartha's work in general, is remarkable for both its depth and breadth: as you can see in the overview, the work incorporates technical results spanning from multi-processor synchronization to finding equilibria in multiplayer games! Another remarkable aspect is Siddartha's commitment to broadening participation in STEM, specifically to expanding science availability by writing what appears to be the first research paper in the Telugu language. It is also worth noting that Siddartha is part of the second generation of Distributed Computing researchers from his family. (As readers probably know, his father is Prof. Prasad Jayanti.)
The strength and diversity of the 2023 awarded theses, together with the fact that PODC has received a record number of submissions this year, suggest that the future is bright for our area.
Nivolumab Reaches Brain Lesions in Patients with Recurrent Glioblastoma and Induces T-cell Activity and Upregulation of Checkpoint Pathways
Authors: Skadborg Signe K. , Maarup Simone , Draghi Arianna , Borch Annie , Hendriksen Sille , Mundt Filip , Pedersen Vilde , Mann Matthias , Christensen Ib J. , Skjøth-Ramussen Jane , Yde Christina W. , Kristensen Bjarne W. , Poulsen Hans S. , Hasselbalch Benedikte , Svane Inge M. , Lassen Ulrik , Hadrup Sine R. 
Published: June 2024

Abstract
Glioblastoma (GBM) is an aggressive brain tumor with poor prognosis. Although immunotherapy is being explored as a potential treatment option for patients with GBM, it is unclear whether systemic immunotherapy can reach and modify the tumor microenvironment in the brain. We evaluated immune characteristics in patients receiving the anti-PD-1 immune checkpoint inhibitor nivolumab 1 week prior to surgery, compared with control patients receiving salvage resection without prior nivolumab treatment. We observed saturating levels of nivolumab bound to intratumorally and tissue-resident T cells in the brain, implicating saturating levels of nivolumab reaching brain tumors. Following nivolumab treatment, significant changes in T-cell activation and proliferation were observed in the tumor-resident T-cell population, and peripheral T cells upregulated chemokine receptors related to brain homing. A strong nivolumab-driven upregulation in compensatory checkpoint inhibition molecules, i.e., TIGIT, LAG-3, TIM-3, and CTLA-4, was observed, potentially counteracting the treatment effect. Finally, tumor-reactive tumor-infiltrating lymphocytes (TIL) were found in a subset of nivolumab-treated patients with prolonged survival, and neoantigen-reactive T cells were identified in both TILs and blood. This indicates a systemic response toward GBM in a subset of patients, which was further boosted by nivolumab, with T-cell responses toward tumor-derived neoantigens. Our study demonstrates that nivolumab does reach the GBM tumor lesion and enhances antitumor T-cell responses both intratumorally and systemically. However, various anti-inflammatory mechanisms mitigate the clinical efficacy of the anti-PD-1 treatment.
Induction of DEPP1 by HIF Mediates Multiple Hallmarks of Ischemic Cardiomyopathy
Authors: Wyant Gregory A. , Jiang Qinqin , Singh Madhu , Qayyum Shariq , Levrero Clara , Maron Bradley A. , Kaelin William G. 
Published: June 2024

BACKGROUND:
HIF (hypoxia inducible factor) regulates many aspects of cardiac function. We and others previously showed that chronic HIF activation in the heart in mouse models phenocopies multiple features of ischemic cardiomyopathy in humans, including mitochondrial loss, lipid accumulation, and systolic cardiac dysfunction. In some settings, HIF also causes the loss of peroxisomes. How, mechanistically, HIF promotes cardiac dysfunction is an open question.

METHODS:
We used mice lacking cardiac pVHL (von Hippel-Lindau protein) to investigate how chronic HIF activation causes multiple features of ischemic cardiomyopathy, such as autophagy induction and lipid accumulation. We performed immunoblot assays, RNA sequencing, mitochondrial and peroxisomal autophagy flux measurements, and live cell imaging on isolated cardiomyocytes. We used CRISPR-Cas9 gene editing in mice to validate a novel mediator of cardiac dysfunction in the setting of chronic HIF activation.

RESULTS:

We identify a previously unknown pathway by which cardiac HIF activation promotes the loss of mitochondria and peroxisomes. We found that DEPP1 (decidual protein induced by progesterone 1) is induced under hypoxia in a HIF-dependent manner and localizes inside mitochondria. DEPP1 is both necessary and sufficient for hypoxia-induced autophagy and triglyceride accumulation in cardiomyocytes ex vivo. DEPP1 loss increases cardiomyocyte survival in the setting of chronic HIF activation ex vivo, and whole-body Depp1 loss decreases cardiac dysfunction in hearts with chronic HIF activation caused by
VHL
loss in vivo.

CONCLUSIONS:
Our findings identify DEPP1 as a key component in the cardiac remodeling that occurs with chronic ischemia.
Deep Learning for Echo Analysis, Tracking, and Evaluation of Mitral Regurgitation (DELINEATE-MR)
Authors: Long Aaron , Haggerty Christopher M. , Finer Joshua , Hartzel Dustin , Jing Linyuan , Keivani Azadeh , Kelsey Christopher , Rocha Daniel , Ruhl Jeffrey , vanMaanen David , Metser Gil , Duffy Eamon , Mawson Thomas , Maurer Mathew , Einstein Andrew J. , Beecy Ashley , Kumaraiah Deepa , Homma Shunichi , Liu Qi , Agarwal Vratika , Lebehn Mark , Leon Martin , Hahn Rebecca , Elias Pierre , Poterucha Timothy J. 
Published: June 2024

BACKGROUND:
Artificial intelligence, particularly deep learning (DL), has immense potential to improve the interpretation of transthoracic echocardiography (TTE). Mitral regurgitation (MR) is the most common valvular heart disease and presents unique challenges for DL, including the integration of multiple video-level assessments into a final study-level classification.

METHODS:
A novel DL system was developed to intake complete TTEs, identify color MR Doppler videos, and determine MR severity on a 4-step ordinal scale (none/trace, mild, moderate, and severe) using the reading cardiologist as a reference standard. This DL system was tested in internal and external test sets with performance assessed by agreement with the reading cardiologist, weighted κ, and area under the receiver-operating characteristic curve for binary classification of both moderate or greater and severe MR. In addition to the primary 4-step model, a 6-step MR assessment model was studied with the addition of the intermediate MR classes of mild-moderate and moderate-severe with performance assessed by both exact agreement and ±1 step agreement with the clinical MR interpretation.

RESULTS:
A total of 61 689 TTEs were split into train (n=43 811), validation (n=8891), and internal test (n=8987) sets with an additional external test set of 8208 TTEs. The model had high performance in MR classification in internal (exact accuracy, 82%; κ=0.84; area under the receiver-operating characteristic curve, 0.98 for moderate or greater MR) and external test sets (exact accuracy, 79%; κ=0.80; area under the receiver-operating characteristic curve, 0.98 for moderate or greater MR). Most (63% internal and 66% external) misclassification disagreements were between none/trace and mild MR. MR classification accuracy was slightly higher using multiple TTE views (accuracy, 82%) than with only apical 4-chamber views (accuracy, 80%). In subset analyses, the model was accurate in the classification of both primary and secondary MR with slightly lower performance in cases of eccentric MR. In the analysis of the 6-step classification system, the exact accuracy was 80% and 76% with a ±1 step agreement of 99% and 98% in the internal and external test set, respectively.

CONCLUSIONS:
This end-to-end DL system can intake entire echocardiogram studies to accurately classify MR severity and may be useful in helping clinicians refine MR assessments.