bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improving Neurotrauma by Depolarization Inhibition With Combination Therapy: A Phase 2 Randomized Feasibility Trial
Authors: Hartings Jed A. , Dreier Jens P. , Ngwenya Laura B. , Balu Ramani , Carlson Andrew P. , Foreman Brandon 
Published: April 2023

BACKGROUND AND OBJECTIVES:
Spreading depolarizations (SDs) are a pathological mechanism that mediates lesion development in cerebral gray matter. They occur in ∼60% of patients with severe traumatic brain injury (TBI), often in recurring and progressive patterns from days 0 to 10 after injury, and are associated with worse outcomes. However, there are no protocols or trials suggesting how SD monitoring might be incorporated into clinical management. The objective of this protocol is to determine the feasibility and efficacy of implementing a treatment protocol for intensive care of patients with severe TBI that is guided by electrocorticographic monitoring of SDs.

METHODS:
Patients who undergo surgery for severe TBI with placement of a subdural electrode strip will be eligible for enrollment. Those who exhibit SDs on electrocorticography during intensive care will be randomized 1:1 to either (1) standard care that is blinded to the further course of SDs or (2) a tiered intervention protocol based on efficacy to suppress further SDs. Interventions aim to block the triggering and propagation of SDs and include adjusted targets for management of blood pressure, CO2, temperature, and glucose, as well as ketamine pharmacotherapy up to 4 mg/kg/ hour. Interventions will be escalated and de-escalated depending on the course of SD pathology.

EXPECTED OUTCOMES:
We expect to demonstrate that electrocorticographic monitoring of SDs can be used as a real- time diagnostic in intensive care that leads to meaningful changes in patient management and a reduction in secondary injury, as compared with standard care, without increasing medical complications or adverse events.

DISCUSSION:
This trial holds potential for personalization of intensive care management by tailoring therapies based on monitoring and confirmation of the targeted neuronal mechanism of SD. Results are expected to validate the concept of this approach, inform refinement of the treatment protocol, and lead to larger-scale trials.
Talin and kindlin cooperate to control the density of integrin clusters
Authors: Pernier Julien , Santos Marcelina Cardoso Dos , Souissi Mariem , Joly Adrien , Narassimprakash Hemalatha , Rossier Olivier , Giannone Grégory , Helfer Emmanuèle , Sengupta Kheya , Clainche Christophe Le 
Published: April 2023

ABSTRACT
Focal adhesions are composed of transmembrane integrins, linking the extracellular matrix to the actomyosin cytoskeleton, via cytoplasmic proteins. Adhesion depends on the activation of integrins. Talin and kindlin proteins are intracellular activators of integrins that bind to β-integrin cytoplasmic tails. Integrin activation and clustering through extracellular ligands guide the organization of adhesion complexes. However, the roles of talin and kindlin in this process are poorly understood. To determine the contribution of talin, kindlin, lipids and actomyosin in integrin clustering, we used a biomimetic in vitro system, made of giant unilamellar vesicles, containing transmembrane integrins (herein αIIbβ3), with purified talin (talin-1), kindlin (kindlin-2, also known as FERMT2) and actomyosin. Here, we show that talin and kindlin individually have the ability to cluster integrins. Talin and kindlin synergize to induce the formation of larger integrin clusters containing the three proteins. Comparison of protein density reveals that kindlin increases talin and integrin density, whereas talin does not affect kindlin and integrin density. Finally, kindlin increases integrin–talin–actomyosin coupling. Our study unambiguously demonstrates how kindlin and talin cooperate to induce integrin clustering, which is a major parameter for cell adhesion.
An Analysis of Carbon-Reduction Pledges of U.S. Oil and Gas Companies
Authors: Desai Hemang , Lam Pauline , Li Bin , Rajgopal Shiva 
Published: April 2023

We study carbon-reduction pledges of publicly traded U.S. oil exploration and production (E&P) companies. Of the 69 firms in the sample, 18 have committed to net-zero carbon targets, 14 have announced significant emissions cuts, whereas the remaining 37 firms have not announced any formal commitment to reduce emissions. We find that a firm’s energy production and ownership by BlackRock is positively associated with its decision to announce a net-zero pledge or significant emission cuts. E&P firms are likely to announce such commitments after Engine No. 1 proposed its slate of directors for Exxon’s board. The stock market reacts more negatively to net-zero pledges relative to emission-reduction pledges on average. However, the market reaction is related to the quality and credibility of these pledges. In particular, we find that the negative market reaction to net-zero pledges is mainly driven by firms with post-2030 target years relative to firms that commit to achieving net zero by 2030. We also find that the market reacts more negatively to net-zero pledges when the firm does not show the strength of its commitment via the presence of a board-level committee to monitor the company’s progress toward its emission goals or when the top management’s pay is not linked to specific emission reduction goals. This paper was accepted by Ranjani Krishnan, accounting. Funding: The research was funded by Columbia Business School. Supplemental Material: The online appendix and data are available at https://doi.org/10.1287/mnsc.2023.4765 .
Promoting nutritional education in primary school children
Authors: Rasheed Mehak 
Published: April 2023

Background: Inadequate nutrition knowledge leads to poor dietary choices to the detriment of the overall health of individuals and populations due to the likelihood of the development of various ill health conditions such as obesity and malnutrition. Childhood is the stage that sets a nutritional precedent for life and the attitudes, and beliefs developed in childhood tend to last for the individual's lifespan. Therefore children should be provided with adequate nutritional knowledge to enable longer term healthier food choices. Aim: This study aimed to devise an appropriate strategy for the promotion of nutrition education in primary school children and to evaluate the effectiveness of the intervention. Method: A survey was used to assess the level of nutrition knowledge in children followed by the provision of nutrition education through sessions focusing on adopting easily understandable terms for nutrients and teaching at their level of understanding and education. Techniques such as audiovisual aids and question-and-answer sessions were used to make the sessions entertaining. The outcomes were evaluated through the same survey that was used pre-intervention. Data are presented from a quantitative analysis. Results: The outcomes of the first survey showed a major need for providing nutrition education to students as the students were barely aware of nutrients and the functions of foodstuffs and therefore made poor food choices. However, the post-intervention survey showed a significant improvement in nutritional knowledge, and the majority of the students knew how to make healthier food choices.
Towards optimum Franson interference recurrence in mode-locked singly-filtered biphoton frequency combs
Authors: Chang Kai-Chi , Cheng Xiang , Sarihan Murat Can , Wong Chee Wei 
Published: April 2023

Mode-locked biphoton frequency combs exhibit multiple discrete comblike temporal correlations from the Fourier transform of its phase-coherent frequency spectrum. Both temporal correlation and Franson interferometry are valuable tools for analyzing the joint properties of biphoton frequency combs, and the latter has proven to be essential for testing the fundamental quantum nature, the time-energy entanglement distribution, and the large-alphabet quantum key distributions. However, the Franson recurrence interference visibility in biphoton frequency combs unavoidably experiences a falloff that deteriorates the quality of time-energy entanglement and channel capacity for longer cavity round trips. In this paper, we provide a new method to address this problem towards optimum Franson interference recurrence. We first observe mode-locked temporal oscillations in a 5.03 GHz free-spectral range singly filtered biphoton frequency comb using only commercial detectors. Then, we observe similar falloff trend of time-energy entanglement in 15.15 GHz and 5.03 GHz free-spectral range singly filtered biphoton frequency combs, whereas, the optimum central time-bin accidental-subtracted visibility over 97% for both cavities. Here, we find that by increasing the cavity finesse F, we can enhance the detection probability in temporal correlations and towards optimum Franson interference recurrence in our singly filtered biphoton frequency combs. For the first time, via a higher cavity finesse F of 45.92 with a 15.11 GHz free-spectral range singly filtered biphoton frequency comb, we present an experimental ≈3.13-fold improvement of the Franson visibility compared to the Franson visibility with a cavity finesse F of 11.14 at the sixth time bin. Near optimum Franson interference recurrence and a time-bin Schmidt number near 16 effective modes in similar free-spectral range cavity are predicted with a finesse F of 200. Our configuration is versatile and robust against changes in cavity parameters that can be designed for various quantum applications, such as high-dimensional time-energy entanglement distributions, high-dimensional quantum key distributions, and wavelength-multiplexed quantum networks.
The functional logic of odor information processing in the Drosophila antennal lobe
Authors: Lazar Aurel A. , Liu Tingkai , Yeh Chung-Heng 
Published: April 2023

Recent advances in molecular transduction of odorants in the Olfactory Sensory Neurons (OSNs) of theDrosophilaAntenna have shown that theodorant object identityis multiplicatively coupled with theodorant concentration waveform. The resulting combinatorial neural code is a confounding representation of odorant semantic information (identity) and syntactic information (concentration). To distill the functional logic of odor information processing in the Antennal Lobe (AL) a number of challenges need to be addressed including 1) how is the odorantsemantic informationdecoupled from thesyntactic informationat the level of the AL, 2) how are these two information streams processed by the diverse AL Local Neurons (LNs) and 3) what is the end-to-end functional logic of the AL?By analyzing single-channel physiology recordings at the output of the AL, we found that the Projection Neuron responses can be decomposed into aconcentration-invariantcomponent, and two transient components boosting the positive/negative concentration contrast that indicate onset/offset timing information of the odorant object. We hypothesized that the concentration-invariant component, in the multi-channel context, is the recovered odorant identity vector presented between onset/offset timing events.We developed a model of LN pathways in the Antennal Lobe termed the differential Divisive Normalization Processors (DNPs), which robustly extract thesemantics(the identity of the odorant object) and the ON/OFF semantic timing events indicating the presence/absence of an odorant object. For real-time processing with spiking PN models, we showed that the phase-space of the biological spike generator of the PN offers an intuit perspective for the representation of recovered odorant semantics and examined the dynamics induced by the odorant semantic timing events. Finally, we provided theoretical and computational evidence for the functional logic of the AL as a robustON-OFF odorant object identity recovery processoracross odorant identities, concentration amplitudes and waveform profiles.
The burden of premature mortality from cardiovascular diseases: A systematic review of years of life lost
Authors: Rodzlan Hasani Wan Shakira , Muhamad Nor Asiah , Hanis Tengku Muhammad , Maamor Nur Hasnah , Wee Chen Xin , Omar Mohd Azahadi , Ganapathy Shubash Shander , Abdul Karim Zulkarnain , Musa Kamarul Imran 
Published: April 2023

Introduction
Premature mortality refers to deaths that occur before the expected age of death in a given population. Years of life lost (YLL) is a standard parameter that is frequently used to quantify some component of an "avoidable" mortality burden.

Objective
To identify the studies on premature cardiovascular disease (CVD) mortality and synthesise their findings on YLL based on the regional area, main CVD types, sex, and study time.

Method
We conducted a systematic review of published CVD mortality studies that reported YLL as an indicator for premature mortality measurement. A literature search for eligible studies was conducted in five electronic databases: PubMed, Scopus, Web of Science (WoS), and the Cochrane Central Register of Controlled Trials (CENTRAL). The Newcastle-Ottawa Scale was used to assess the quality of the included studies. The synthesis of YLL was grouped into years of potential life lost (YPLL) and standard expected years of life lost (SEYLL) using descriptive analysis. These subgroups were further divided into WHO (World Health Organization) regions, study time, CVD type, and sex to reduce the effect of heterogeneity between studies.

Results
Forty studies met the inclusion criteria for this review. Of these, 17 studies reported premature CVD mortality using YPLL, and the remaining 23 studies calculated SEYLL. The selected studies represent all WHO regions except for the Eastern Mediterranean. The overall median YPLL and SEYLL rates per 100,000 population were 594.2 and 1357.0, respectively. The YPLL rate and SEYLL rate demonstrated low levels in high-income countries, including Switzerland, Belgium, Spain, Slovenia, the USA, and South Korea, and a high rate in middle-income countries (including Brazil, India, South Africa, and Serbia). Over the past three decades (1990–2022), there has been a slight increase in the YPLL rate and the SEYLL rate for overall CVD and ischemic heart disease but a slight decrease in the SEYLL rate for cerebrovascular disease. The SEYLL rate for overall CVD demonstrated a notable increase in the Western Pacific region, while the European region has experienced a decline and the American region has nearly reached a plateau. In regard to sex, the male showed a higher median YPLL rate and median SEYLL rate than the female, where the rate in males substantially increased after three decades.

Conclusion
Estimates from both the YPLL and SEYLL indicators indicate that premature CVD mortality continues to be a major burden for middle-income countries. The pattern of the YLL rate does not appear to have lessened over the past three decades, particularly for men. It is vitally necessary to develop and execute strategies and activities to lessen this mortality gap.

Systematic review registration
PROSPERO CRD42021288415
NSSI questionnaires revisited: A data mining approach to shorten the NSSI questionnaires
Authors: Farajzadeh Nacer , Sadeghzadeh Nima 
Published: April 2023

Background and objective
Non-suicidal self-injury (NSSI) is a psychological disorder that the sufferer consciously damages their body tissues, often too severe that requires intensive care medicine. As some individuals hide their NSSI behaviors, other people can only identify them if they catch them while injuring, or via dedicated questionnaires. However, questionnaires are long and tedious to answer, thus the answers might be inconsistent. Hence, in this study for the first time, we abstracted a larger questionnaire (of 662 items in total) to own only 22 items (questions) via data mining techniques. Then, we trained several machine learning algorithms to classify individuals based on their answers into two classes.

Methods
Data from 277 previously-questioned participants is used in several data mining methods to select features (questions) that highly represent NSSI, then 245 different people were asked to participate in an online test to validate those features via machine learning methods.

Results
The highest accuracy and F1 score of the selected features–via the Genetics algorithm–are 80.0% and 74.8% respectively for a Random Forest algorithm. Cronbach’s alpha of the online test (validation on the selected features) is 0.82. Moreover, results suggest that an MLP can classify participants into two classes of NSSI Positive and NSSI Negative with 83.6% accuracy and 83.7% F1-score based on the answers to only 22 questions.

Conclusion
While previously psychologists used many combined questionnaires to see whether someone is involved in NSSI, via various data mining methods, the present study showed that only 22 questions are enough to predict if someone is involved or not. Then different machine learning algorithms were utilized to classify participants based on their NSSI behaviors, among which, an MLP with 10 hidden layers had the best performance.
Maternal infections in pregnancy and the risk of sudden unexpected infant death in the offspring in the U.S., 2011–2015
Authors: Weatherly Maggie , Trivedi Anusua , Chembrolu Ratna , Gupta Sanjana , Ramirez Jan-Marino , Lavista Ferres Juan M. , Anderson Tatiana M. , Mitchell Edwin A. 
Published: April 2023

BackgroundInfection is thought to play a part in some infant deaths. Maternal infection in pregnancy has focused on chlamydia with some reports suggesting an association with sudden unexpected infant death (SUID).ObjectivesWe hypothesized that maternal infections in pregnancy are associated with subsequent SUID in their offspring.SettingAll births in the United States, 2011–2015Data sourceCenters for Disease Control and Prevention (CDC) Birth Cohort Linked Birth-Infant Death Data Files.Study designCohort study, although the data were analysed as a case control study. Cases were infants that died from SUID. Controls were randomly sampled infants that survived their first year of life; approximately 10 controls per SUID case.ExposuresChlamydia, gonorrhea and hepatitis C.ResultsThere were 19,849,690 live births in the U.S. for the period 2011–2015. There were 37,143 infant deaths of which 17,398 were classified as SUID cases (a rate of 0.86/1000 live births). The proportion of the control mothers with chlamydia was 1.7%, gonorrhea 0.2% and hepatitis C was 0.3%. Chlamydia was present in 3.8% of mothers whose infants subsequently died of SUID compared with 1.7% of controls (unadjusted OR = 2.35, 95% CI = 2.15, 2.56; adjusted OR = 1.08, 95% CI = 0.98, 1.19). Gonorrhea was present in 0.7% of mothers of SUID cases compared with 0.2% of mothers of controls (OR = 3.09, (2.50, 3.79); aOR = 1.20(0.95, 1.49)) and hepatitis C was present in 1.3% of mothers of SUID cases compared with 0.3% of mothers of controls (OR = 4.69 (3.97, 5.52): aOR = 1.80 (1.50, 2.15)).ConclusionsThe marked attenuation of SUID risk after adjustment for a wide variety of socioeconomic and demographic factors suggests the small increase in the risk of SUID of the offspring of mothers with infection with hepatitis C in pregnancy is due to residual confounding.
Status of knowledge, attitude and practice of poststroke dysphagia in neurological nurses in China: A cross-sectional study
Authors: Wang Rui , Song Yuqing , He Yueyue , Long Shiyan , Feng Ling 
Published: April 2023

Objectives
To explore the status and related factors of knowledge, attitude, and practice (KAP) of poststroke dysphagia among neurological nurses in China.

Methods
Neurological nurses from 40 tertiary hospitals in Southwest China were invited to complete a survey on the knowledge, attitude, and practice of the nursing of poststroke dysphagia. We used a questionnaire to collect the participants’ information including the basic characteristics and the KAP Questionnaire on poststroke dysphagia in the neurological ward. A sample of 707 participants completed the survey.

Results
The knowledge, attitude, and practice scores for the nursing of poststroke dysphagia were 12.00±4.09, 71.99±11.00, 52.22±9.08, respectively. The total score of knowledge towards the nursing of poststroke dysphagia was significantly different among nurses with different ages, working time of nursing, working time of nursing in neurology, the highest level of education, professional title, position, the method of training, the number of dysphagia-related nursing trainings, the total length of dysphagia nursing training, and the nursing basis of patients with dysphagia. The total score of attitudes towards the nursing of poststroke dysphagia was significantly different among nurses with the way they were trained, and the nursing basis for patients with dysphagia. The total score of practice towards poststroke dysphagia was significantly different among nurses with the number of dysphagia-related nursing trainings, the total length of dysphagia nursing training, the training method, and the basis of nursing patients with dysphagia.

Conclusion
Neurological nurses’ knowledge score in poststroke dysphagia is relatively low, and the knowledge level needs improvement. The attitude and practice score of neurological nurses in dysphagia after stroke was much better than the knowledge score. Managers and nursing researchers should develop and offer effective training for neurological nurses to improve their knowledge, attitude and practice towards poststroke dysphagia, and then improve patients’ health outcomes.
Magnitude of optimal access to ANC and its predictors in Ethiopia: Multilevel mixed effect analysis of nationally representative cross-sectional survey
Authors: Negash Wubshet Debebe , Belachew Tadele Biresaw , Fetene Samrawit Mihret , Addis Banchilay , Amare Tsegaw , Kidie Atitegeb Abera , Endawkie Abel , Zegeye Alebachew Ferede , Tamir Tadesse Tarik , Wubante Sisay Maru , Fentie Elsa Awoke , Asmamaw Desale Bihonegn 
Published: April 2023

Background
Optimal access to ANC, such as the first ANC visit at first trimester, four or more ANC visits, and skilled health care provider can significantly reduce maternal mortality in an inclusive way. Previous studies conducted in Ethiopia on optimal ANC are restricted to frequencies of ANC visit. Therefore, the aim of this study was to assess the magnitude of optimal ANC access as a comprehensive way and its predictors among pregnant women in Ethiopia.

Methods
Secondary data source from a recent demographic and health survey was used for analysis. This study includes a weighted sample of 4771 pregnant women. A multilevel mixed-effect binary logistic regression analyses was done to identify both the individual and community level factors. Odds ratio along with the 95% confidence interval was generated to identify the predictors of optimal access to ANC. A p-value less than 0.05 was declared as statistical significant.

Results
In Ethiopia, one in five (20%) pregnant women had optimal access to antenatal care. Regarding the factors at individual level, pregnant women aged 25–34 years [aOR = 1.58, 95% CI = 1.23–2.03] and 35–49 years [aOR = 2.04, 95% CI = 1.43–2.89], those who had educated primary [aOR = 1.67, 95% CI = 1.33–2.09], secondary and higher [aOR = 1.81, 95% CI = 1.15–2.85], Primipara [aOR = 2.45, 95% CI = 1.68–3.59] and multipara [aOR = 1.48, 95% CI = 1.11–1.98] had higher odds of accessing optimal ANC. With the community level factors, the odds of optimal access to ANC was higher among pregnant women who lived in urban area [aOR = 2.08, 95% CI = 1.33–3.27], whereas, lower odds of optimal ANC access among those pregnant women who reported distance to the health facility as a big problem [aOR = 0.78, 95% CI = 0.63–0.96].

Conclusion and recommendation
The study concludes that in Ethiopia, optimal access to ANC was low. The study identified that both individual and community level factors were predictors for optimal ANC access. Therefore, the Ethiopian government should intensify extensive education on ANC in a comprehensive way. Moreover, especial attention from the Ethiopian ministry of health for those women who reported distance as a big problem and for rural resident women is mandatory.