bluuebunny/crossref_metadata_2025_split huggingface dataset:
Zygomatic Approach to Cavernous Sinus Chordoma: 2-Dimensional Operative Video
Authors: Aversa Antonio , Al-Mefty Ossama 
Published: April 2021

Abstract
Chordoma is not a benign disease. It grows invasively, has a high rate of local recurrence, metastasizes, and seeds in the surgical field.
1
Thus, chordoma should be treated aggressively with radical resection that includes the soft tissue mass and the involved surrounding bone that contains islands of chordoma.
2–5
High-dose radiation, commonly by proton beam therapy, is administered after gross total resection for long-term control. About half of chordoma cases occupy the cavernous sinus space and resecting this extension is crucial to obtain radical resection. Fortunately, the cavernous sinus proper extension is the easier part to remove and pre-existing cranial nerves deficit has good chance of recovery. As chordomas originate and are always present extradurally (prior to invading the dura), an extradural access to chordomas is the natural way for radical resection without brain manipulation. The zygomatic approach is key to the middle fossa, cavernous sinus, petrous apex, and infratemporal fossa; it minimizes the depth of field and is highly advantageous in chordoma located mainly lateral to the cavernous carotid artery.
6–12
This article demonstrates the advantages of this approach, including the mobilization of the zygomatic arch alleviating temporal lobe retraction, the peeling of the middle fossa dura for exposure of the cavernous sinus, the safe dissection of the trigeminal and oculomotor nerves, and total control of the petrous and cavernous carotid artery. Tumor extensions to the sphenoid sinus, sella, petrous apex, and clivus can be removed. The patient is a 30-yr-old who consented for surgery.
Concomitant Embolization and Microsurgical Resection of a Giant, Hypervascular Skull Base Meningioma: 2-Dimensional Operative Video
Authors: Mooney Michael A , Ibn Essayed Walid , Aziz-Sultan Mohammad Ali , Al-Mefty Ossama 
Published: April 2021

Abstract
Some skull base tumors can be extremely hypervascular, incorporating multiple vascular territories and demonstrating arteriovenous shunting. Devascularization is a critical step undertaken early in meningioma surgery, necessary before the debulking that is required in skull base tumors. While devascularization can often be achieved with appropriate approach selection, bony drilling, and microsurgical cautery, preoperative embolization of meningiomas has an invaluable role in selected cases.
1,2

Embolization, however, does have added risk, magnified in large tumors by the potential infarction with subsequent edema that can potentially lead to acute deterioration and neurosurgical emergency. Hence, to achieve devascularization of an extremely vascular tumor, embolization and surgical resection should be performed concomitantly, as one operation, in which embolization might be the first stage, or might be performed after the craniotomy flap is raised, if necessary.
3
Naturally, this requires the multifaceted neurosurgical expertise of embolization and microsurgical resection, and the facility to perform such.
We present a case of a giant, hypervascular, radiation-induced, skull base meningioma with internal and external carotid artery supply in a young patient with deteriorating vision in his only eye. Selective embolization of the internal maxillary, middle meningeal, and middle cerebral artery blood supplies was performed. Microsurgical interruption of the ethmoidal artery blood supply was then performed. This hybrid approach safely and effectively devascularized the tumor and allowed for a complete resection of this high-risk tumor
4
while minimizing risk to the ophthalmic artery and optic nerve.
The patient was consented for surgery.
Using Administrative Records and Survey Data to Construct Samples of Tweeters and Tweets
Authors: Hughes Adam G , McCabe Stefan D , Hobbs William R , Remy Emma , Shah Sono , Lazer David M J 
Published: April 2021

Abstract
Social media data can provide new insights into political phenomena, but users do not always represent people, posts and accounts are not typically linked to demographic variables for use as statistical controls or in subgroup comparisons, and activities on social media can be difficult to interpret. For data scientists, adding demographic variables and comparisons to closed-ended survey responses have the potential to improve interpretations of inferences drawn from social media—for example, through comparisons of online expressions and survey responses, and by assessing associations with offline outcomes like voting. For survey methodologists, adding social media data to surveys allows for rich behavioral measurements, including comparisons of public expressions with attitudes elicited in a structured survey. Here, we evaluate two popular forms of linkages—administrative and survey—focusing on two questions: How does the method of creating a sample of Twitter users affect its behavioral and demographic profile? What are the relative advantages of each of these methods? Our analyses illustrate where and to what extent the sample based on administrative data diverges in demographic and partisan composition from surveyed Twitter users who report being registered to vote. Despite demographic differences, each linkage method results in behaviorally similar samples, especially in activity levels; however, conventionally sized surveys are likely to lack the statistical power to study subgroups and heterogeneity (e.g., comparing conversations of Democrats and Republicans) within even highly salient political topics. We conclude by developing general recommendations for researchers looking to study social media by linking accounts with external benchmark data sources.
Systematic study on the role of various higher-order processes in the breakup of weakly-bound projectiles
Authors: Singh Jagjit , Matsumoto Takuma , Ogata Kazuyuki 
Published: April 2021

Abstract
The virtual photon theory (VPT), which is based on first-order Coulomb dissociation restricted to the electric dipole (E1), has been successfully used to explain the breakup data for several cases. Our aim is to study the role of various higher-order processes that are ignored in the VPT, such as the nuclear breakup, interference between nuclear and Coulomb amplitudes, and multistep breakup processes mainly due to strong continuum-continuum couplings in the breakup of two-body projectiles on a heavy target at both intermediate and higher incident energies. For the purpose of numerical calculations, we employed eikonal version of three-body continuum-discretized coupled-channels (CDCC) reaction model. Our results for the breakup of 11Be and 17F on 208Pb target at 100, 250, and 520 MeV/A, show the importance of nuclear breakup contribution, and its significant role in the multistep processes. The multistep effect on Coulomb breakup for core-neutron projectile was found to be negligible, whereas it was important for core-proton projectile. Coulomb-nuclear interference (CNI) effect was also found to be non-negligible. Qantitatively, the multistep effects due to the nuclear breakup was found to depend on the incident energy through the energy dependence of the core-target and nucleon-target nuclear potentials. The nuclear breakup component, the CNI effect, and the multistep breakup processes are all found to be non-negligible; hence, the assumptions adopted in the VPT for the accurate description of breakup cross sections are not valid.
Can a CNN trained on the Ising model detect the phase transition of the q-state Potts model?
Authors: Fukushima Kimihiko , Sakai Kazumitsu 
Published: April 2021

Abstract
Employing a deep convolutional neural network (deep CNN) trained on spin configurations of the 2D Ising model and the temperatures, we examine whether the deep CNN can detect the phase transition of the 2D $q$-state Potts model. To this end, we generate binarized images of spin configurations of the $q$-state Potts model ($q\ge 3$) by replacing the spin variables $\{0,1,\ldots,\lfloor q/2\rfloor-1\}$ and $\{\lfloor q/2\rfloor,\ldots,q-1\}$ with $\{0\}$ and $\{1\}$, respectively. Then, we input these images to the trained CNN to output the predicted temperatures. The binarized images of the $q$-state Potts model are entirely different from Ising spin configurations, particularly at the transition temperature. Moreover, our CNN model is not trained on the information about whether phases are ordered/disordered but is naively trained by Ising spin configurations labeled with temperatures at which they are generated. Nevertheless, the deep CNN can detect the transition point with high accuracy, regardless of the type of transition. We also find that, in the high-temperature region, the CNN outputs the temperature based on the internal energy, whereas, in the low-temperature region, the output depends on the magnetization and possibly the internal energy as well. However, in the vicinity of the transition point, the CNN may use more general factors to detect the transition point.
Mortality Effects and Choice Across Private Health Insurance Plans
Authors: Abaluck Jason , Caceres Bravo Mauricio , Hull Peter , Starc Amanda 
Published: April 2021

Abstract
Competition in health insurance markets may fail to improve health outcomes if consumers are not able to identify high-quality plans. We develop and apply a novel instrumental variables framework to quantify the variation in causal mortality effects across plans and measure how much consumers attend to this variation. We first document large differences in the observed mortality rates of Medicare Advantage plans in local markets. We then show that when plans with high mortality rates exit these markets, enrollees tend to switch to more typical plans and subsequently experience lower mortality. We derive and validate a novel “fallback condition” governing the subsequent choices of those affected by plan exits. When the fallback condition is satisfied, plan terminations can be used to estimate the relationship between observed plan mortality rates and causal mortality effects. Applying the framework, we find that mortality rates unbiasedly predict causal mortality effects. We then extend our framework to study other predictors of plan mortality effects and estimate consumer willingness to pay. Higher-spending plans tend to reduce enrollee mortality, but existing quality ratings are uncorrelated with plan mortality effects. Consumers place little weight on mortality effects when choosing plans. Good insurance plans dramatically reduce mortality, and redirecting consumers to such plans could improve beneficiary health.
Policing and Punishing Illegal Gun Behavior: An Examination of Jail Detainee Experiences with Gun Law Enforcement In Los Angeles
Authors: Barragan Melissa 
Published: April 2021

AbstractDrawing upon 140 interviews with individuals detained on gun-related charges, this article examines how participants’ experiences with gun-related policing and punishment shaped their beliefs and behaviors surrounding guns and gun violence. Findings suggest that respondents characterized many of their gun-related experiences as unjust. They argue that their policing encounters reinforced discriminatory practices and stereotypes, undermining a key feature of procedural and distributive justice – impartiality. Respondents’ experiences with police harassment and neglect attenuated their willingness to seek out and cooperate with the police by communicating that the law was not designed to serve marginalized groups, who often are treated as suspects first and victims second. By contrast, gang enhancements were key in shaping respondents’ perceptions of unjust punishment, as these severe penalties also revealed inequities by race/ethnicity, class, and other social characteristics. The legitimacy erosion and sense of failed protection by the state produced by these encounters ultimately helped to create a context whereby illegal gun carry was positioned as a necessary strategy. Findings from this study extend existing scholarship on justice perceptions by demonstrating how specific policing, punishment, and criminalization processes can damage the law’s legitimacy and inadvertently encourage the violence that the law was designed to deter.
External application of nitrogen alleviates toxicity of cadmium on poplars via starch and sucrose metabolism
Authors: He Fang , Zhao Qian , Huang Jin-Liang , Niu Meng-Xue , Feng Hua-Cong , Shi Yu-Jie , Zhao Kuang-Ji , Cui Xing-Lei , Wu Xiao-Lu , Mi Jia-Xuan , Zhong Yu , Liu Qing-Lin , Chen Liang-Hua , Wan Xue-Qin , Zhang Fan 
Published: April 2021

Abstract
Phytoremediation technology can help achieve moderate cost and considerable effect with respect to the remediation of heavy metal (HM) pollution in soil and water. Many previous studies have suggested the role of nitrogen (N) in the alleviation of effects of HM on plants. Herein, we sought to determine the molecular mechanisms by which additional N supplementation mitigates cadmium (Cd) toxicity in poplars using a combination of physiological, transcriptomic and phosphoproteomic analyses. The application of N can alleviate the toxicity of Cd to Populus by reducing chlorophyll degradation, maintaining the stability of ions inside and outside the cell membrane and increasing the soluble sugar content. Plant samples from the control, Cd stress and Cd_N treatments were used for an integrated analysis of the transcriptome, as well as for phosphoproteomics analysis. Moreover, 1314 differentially expressed genes and 119 differentially expressed kinase genes were discovered. Application of additional N under Cd stress promoted the phosphorylation process. Furthermore, 51 significantly enriched phosphorylated protein sites and 23 differentially expressed kinases were identified using phosphoproteomic and proteomic analyses. Importantly, transcriptomic and phosphoproteomic analyses jointly determined that the application of N could activate corresponding gene expression [UDP-glucose-dehydrogenase (UGD), GAUT, PME, pectin lyase, UDP-glucose-pyrophosphorylase 2 (UGP2), sucrose phosphate synthase (SPS), SUS and SPP2] and protein phosphorylation (UGP2 and SPS) in the sugar and starch synthesis pathways, which promoted the synthesis of sucrose and soluble sugar and subsequently alleviated the damage caused by Cd.
Limiting Acute Kidney Injury Progression In Sepsis: Study Protocol and Trial Simulation*
Authors: Molinari Luca , Heskia Fabienne , Peerapornratana Sadudee , Ronco Claudio , Guzzi Louis , Toback Seth , Birch Robert , Beyhaghi Hadi , Kwan Thomas , Kampf J. Patrick , Yealy Donald M. , Kellum John A. 
Published: April 2021

OBJECTIVES:
To describe study design considerations and to simulate a trial of biomarker-guided sepsis management aimed to reduce acute kidney injury (acute kidney injury). Tissue inhibitor of metalloproteinases-2 and insulin-like growth factor-binding protein 7, urinary biomarkers of cell-cycle arrest, and indicators of kidney stress can detect acute kidney injury before clinical manifestations. We sought to determine the event rates for acute kidney injury as a function of serial measurements of urinary (tissue inhibitor of metalloproteinases-2)•(insulin-like growth factor-binding protein 7) in patients at risk of sepsis-associated acute kidney injury, so that an escalating series of kidney-sparing sepsis bundles based on international guidelines could be applied.

DESIGN:
We described the study protocol of “Limiting acute kidney injury Progression In Sepsis,” a phase 4, multicenter, adaptive, randomized controlled trial. We performed simulations to estimate the rates for the trial’s primary endpoint using patient-level data from two previous studies (Sapphire and Protocolized Care for Early Septic Shock).

SETTING:
Academic and community ICUs.

PATIENTS:
Critically ill patients with sepsis or septic shock, without evidence of stage 2/3 acute kidney injury at enrollment.

INTERVENTIONS:
None.

MEASUREMENTS AND MAIN RESULTS:
Our primary endpoint is progression of two or more stages of acute kidney injury, death, or dialysis within 72 hours after enrollment. In the Sapphire simulation, 45 of 203 patients (22%) with sepsis met the endpoint. In Protocolized Care for Early Septic Shock, 144 of 607 patients (24%) with septic shock met the endpoint. In both simulations, (tissue inhibitor of metalloproteinases-2)•(insulin-like growth factor-binding protein 7) patterns, suggested by Limiting acute kidney injury Progression In Sepsis protocol, stratified the risk for the endpoint from 6% (three negative tests) to 41% (for patients eligible for the highest level of kidney-sparing sepsis bundle) in Sapphire, and 14% (two negative tests) to 46% (for the highest level of kidney-sparing sepsis bundle) in Protocolized Care for Early Septic Shock.

CONCLUSIONS:
Findings of our Limiting acute kidney injury Progression In Sepsis trial simulation confirmed that (tissue inhibitor of metalloproteinases-2)•(insulin-like growth factor-binding protein 7) could identify patients with different rates of progression to moderate/severe acute kidney injury, death, or dialysis in 72 hours. The Limiting acute kidney injury Progression In Sepsis protocol algorithm is therefore feasible in terms of identifying suitably high-risk individuals for kidney-sparing sepsis bundle.
Association Between Lack of Blinding and Mortality Results in Critical Care Randomized Controlled Trials: A Meta-Epidemiological Study*
Authors: Martin Guillaume L. , Trioux Théo , Gaudry Stéphane , Tubach Florence , Hajage David , Dechartres Agnès 
Published: April 2021

OBJECTIVES:
To investigate whether intervention effect estimates for mortality differ between blinded and nonblinded randomized controlled trials conducted in critical care. We used a meta-epidemiological approach, comparing effect estimates between blinded and nonblinded randomized controlled trials for the same research question.

DATA SOURCES:
Systematic reviews and meta-analyses of randomized controlled trials evaluating a therapeutic intervention on mortality in critical care, published between January 2009 and March 2019 in high impact factor general medical or critical care journals and by Cochrane.

DATA EXTRACTION:
For each randomized controlled trial included in eligible meta-analyses, we evaluated whether the trial was blinded (i.e., double-blinded and/or reporting adequate methods) or not (i.e., open-label, single-blinded, or unclear). We collected risk of bias evaluated by the review authors and extracted trial results.

DATA SYNTHESIS:
Within each meta-analysis, we compared intervention effect estimates between blinded and nonblinded randomized controlled trials by using a ratio of odds ratio (< 1 indicates larger estimates in nonblinded than blinded randomized controlled trials). We then combined ratio of odds ratios across meta-analyses to obtain the average relative difference between nonblinded and blinded trials. Among 467 randomized controlled trials included in 36 meta-analyses, 267 (57%) were considered blinded and 200 (43%) nonblinded. Intervention effect estimates were statistically significantly larger in nonblinded than blinded trials (combined ratio of odds ratio, 0.91; 95% CI, 0.84–0.99). We found no heterogeneity across meta-analyses (p = 0.72; I
2 = 0%; τ2 = 0). Sensitivity analyses adjusting the main analysis on risk of bias items yielded consistent results.

CONCLUSIONS:
Intervention effect estimates of mortality were slightly larger in nonblinded than blinded randomized controlled trials conducted in critical care, but confounding cannot be excluded. Blinding of both patients and personnel is important to consider when possible in critical care trials, even when evaluating mortality.
ICU Memories and Patient Outcomes in a Low Middle–Income Country: A Longitudinal Cohort Study
Authors: Tripathy Swagata , Kar Nilamadhab , Acharya Swati P. , Singh Santosh Kumar 
Published: April 2021

OBJECTIVES:
To study memories of ICU following discharge, their associations, and impact on mental health and quality of life in a low- and middle-income country.

DESIGN:
Prospective observational cohort; data on memories (pain, fear, nightmare, factual), clinical and demographic variables, anxiety-depression, posttraumatic stress symptoms, and quality of life were collected 0, 7, 14, 30, 90, and 180 days post discharge. Home visits for assessment minimized loss to follow-up. Linear mixed-models and regression analyses were used to estimate adjusted effects of memories controlling for age, sex, time, and severity of illness.

SETTING:
Twenty-five bedded ICU of a tertiary care center in East India.

PATIENTS:
Adult ICU survivors between January 2017 and July 2018 able to communicate their memories.

INTERVENTIONS:
Not applicable.

MEASUREMENTS AND MAIN RESULTS:
Final sample consisted of 322 patients who completed 180 days follow-up. Pain, fear, factual, and nightmare memories dropped from 85%, 56%, 55%, and 45% at discharge to less than or equal to 5% at 180 days. Patients with gaps in ICU memory had worse anxiety-depression, posttraumatic stress symptoms, and quality of life at all follow-up points. Sedation (odds ratio, 0.54; CI, 0.4–0.7), steroids (odds ratio, 0.47; CI, 0.3–0.8), benzodiazepines (odds ratio, 1.74; CI, 1–3.04), and mechanical ventilation (odds ratio, 0.43; CI, 0.2–0.8) were independently associated with gaps in memory. Non-ICU factor such as substance addiction (odds ratio, 5.38; CI, 2–14) was associated with memories affecting mental health and quality of life.

CONCLUSIONS:
Gaps in memory and various memory types were common after ICU admission, whose prevalence waned over time. Compared with nightmares and fearful memories, gaps in memories were most strongly associated with poor mental health and quality of life. Identifying patients with gaps in memories might be an objective way of planning interventions to improve their long-term outcomes.