bluuebunny/crossref_metadata_2025_split huggingface dataset:
Local government policy to facilitate healthy and sustainable diets and the broader policy hierarchy: insights from Milan Urban Food Policy Pact cities
Authors: Barbour Liza R. , Woods Julie L. , Brimblecombe Julie K. 
Published: May 2023

Abstract
Background
Local government authorities are well positioned to change the way food is produced and consumed through the implementation of integrated food policies. By facilitating the uptake of healthy and sustainable diet-related practices, integrated local government food policy can trigger change throughout the food supply chain. This study aimed to provide insights as to how the policy hierarchy surrounding local governments may be influencing local government’s capacity to create integrated food policy.

Methods
Content analysis was conducted on local government food policies (n = 36) from signatory cities of the Milan Urban Food Policy Pact were mapped to seven global regions. A set of 13 predetermined healthy and sustainable diet-related practices, organized into three categories: “where to source food”, “what to eat” and “how to eat”, was used to assess the level of integration of each local government food policy. Additional policies from the broader policy hierarchy that were mentioned in each local government food policy were sourced and then screened for relevancy, charted according to their level of administration (local, national, global region, international) and analysed to consider which diet-related practice(s) each broader policy was likely to promote.

Results
Analysis revealed three key insights: (i) local government food policies across all included global regions (n = 4) mostly promoted practices in the “where to source food” category, (ii) local government food policies across all global regions referred to policies from higher levels of administration (local, national, global region and international) which tended to also promote practices in the “where to source food” category and (iii) regarding the level of integration, local government food policies in Europe and Central Asia targeted the highest number of diet-related practices.

Conclusions
The level of integration of food policy at national, global region and international levels may be influencing that of local governments. Further research is required to understand why local government food policies are referring to some relevant policies and not others, and to determine whether a greater focus on the diet-related practices of “what to eat” and “how to eat” in policies from higher levels of government would support local governments to also prioritize these practices in their food policies.
Mistreatment of women during childbirth and its influencing factors in public maternity hospitals in Tehran, Iran: a multi-stakeholder qualitative study
Authors: Mirzania Marjan , Shakibazadeh Elham , Bohren Meghan A. , Hantoushzadeh Sedigheh , Babaey Farah , Khajavi Abdoljavad , Foroushani Abbas Rahimi 
Published: May 2023

Abstract
Background
Mistreatment during labour and childbirth is a common experience for many women around the world. This study aimed to explore the manifestations of mistreatment and its influencing factors in public maternity hospitals in Tehran.

Methods
A formative qualitative study was conducted using a phenomenological approach in five public hospitals between October 2021 and May 2022. Sixty in-depth face-to-face interviews were conducted with a purposive sample of women, maternity healthcare providers, and managers. Data were analyzed with content analysis using MAXQDA 18.

Results
Mistreatment of women during labour and childbirth was manifested in four form: (1) physical abuse (fundal pressure); (2) verbal abuse (judgmental comments, harsh and rude language, and threats of poor outcomes); (3) failure to meet professional standards of care (painful vaginal exams, neglect and abandonment, and refusal to provide pain relief); and (4) poor rapport between women and providers (lack of supportive care and denial of mobility). Four themes were also identified as influencing factors: (1) individual-level factors (e.g., providers’ perception about women’s limited knowledge on childbirth process), (2) healthcare provider-level factors (e.g., provider stress and stressful working conditions); (3) hospital-level factors (e.g., staff shortages); and (4) national health system-level factors (e.g., lack of access to pain management during labour and childbirth).

Conclusions
Our study showed that women experienced various forms of mistreatment during labour and childbirth. There were also multiple level drivers for mistreatment at individual, healthcare provider, hospital and health system levels. Addressing these factors requires urgent multifaceted interventions.
The artificial intelligence and machine learning in lung cancer immunotherapy
Authors: Gao Qing , Yang Luyu , Lu Mingjun , Jin Renjing , Ye Huan , Ma Teng 
Published: May 2023

AbstractSince the past decades, more lung cancer patients have been experiencing lasting benefits from immunotherapy. It is imperative to accurately and intelligently select appropriate patients for immunotherapy or predict the immunotherapy efficacy. In recent years, machine learning (ML)-based artificial intelligence (AI) was developed in the area of medical-industrial convergence. AI can help model and predict medical information. A growing number of studies have combined radiology, pathology, genomics, proteomics data in order to predict the expression levels of programmed death-ligand 1 (PD-L1), tumor mutation burden (TMB) and tumor microenvironment (TME) in cancer patients or predict the likelihood of immunotherapy benefits and side effects. Finally, with the advancement of AI and ML, it is believed that "digital biopsy" can replace the traditional single assessment method to benefit more cancer patients and help clinical decision-making in the future. In this review, the applications of AI in PD-L1/TMB prediction, TME prediction and lung cancer immunotherapy are discussed.
Traumatic hemorrhage and chain of survival
Authors: Latif Rana K. , Clifford Sean P. , Baker Jeffery A. , Lenhardt Rainer , Haq Mohammad Z. , Huang Jiapeng , Farah Ian , Businger Jerrad R. 
Published: May 2023

AbstractTrauma is the number one cause of death among Americans between the ages of 1 and 46 years, costing more than $670 billion a year. Following death related to central nervous system injury, hemorrhage accounts for the majority of remaining traumatic fatalities. Among those with severe trauma that reach the hospital alive, many may survive if the hemorrhage and traumatic injuries are diagnosed and adequately treated in a timely fashion. This article aims to review the recent advances in pathophysiology management following a traumatic hemorrhage as well as the role of diagnostic imaging in identifying the source of hemorrhage. The principles of damage control resuscitation and damage control surgery are also discussed. The chain of survival for severe hemorrhage begins with primary prevention; however, once trauma has occurred, prehospital interventions and hospital care with early injury recognition, resuscitation, definitive hemostasis, and achieving endpoints of resuscitation become paramount. An algorithm is proposed for achieving these goals in a timely fashion as the median time from onset of hemorrhagic shock and death is 2 h.
Heterologous expression and characterization of novel GH12 β-glucanase and AA10 lytic polysaccharide monooxygenase from Streptomyces megaspores and their synergistic action in cellulose saccharification
Authors: Qin Xing , Yang Kun , Zou Jiahuan , Wang Xiaolu , Tu Tao , Wang Yuan , Su Xiaoyun , Yao Bin , Huang Huoqing , Luo Huiying 
Published: May 2023

Abstract
Background
The combination of cellulase and lytic polysaccharide monooxygenase (LPMO) is known to boost enzymatic saccharification of cellulose. Although the synergy between cellulases (GH5, 6 or 7) and LPMOs (AA9) has been extensively studied, the interplay between other glycoside hydrolase and LPMO families remains poorly understood.

Results
In this study, two cellulolytic enzyme-encoding genes SmBglu12A and SmLpmo10A from Streptomyces megaspores were identified and heterologously expressed in Escherichia coli. The recombinant SmBglu12A is a non-typical endo-β-1,4-glucanase that preferentially hydrolyzed β-1,3-1,4-glucans and slightly hydrolyzed β-1,4-glucans and belongs to GH12 family. The recombinant SmLpmo10A belongs to a C1-oxidizing cellulose-active LPMO that catalyzed the oxidation of phosphoric acid swollen cellulose to produce celloaldonic acids. Moreover, individual SmBglu12A and SmLpmo10A were both active on barley β-1,3-1,4-glucan, lichenan, sodium carboxymethyl cellulose, phosphoric acid swollen cellulose, as well as Avicel. Furthermore, the combination of SmBglu12A and SmLpmo10A enhanced enzymatic saccharification of phosphoric acid swollen cellulose by improving the native and oxidized cello-oligosaccharides yields.

Conclusions
These results proved for the first time that the AA10 LPMO was able to boost the catalytic efficiency of GH12 glycoside hydrolases on cellulosic substrates, providing another novel combination of glycoside hydrolase and LPMO for cellulose enzymatic saccharification.
An optimized force-triggered density gradient sedimentation method for isolation of pelage follicle dermal papilla cells from neonatal mouse skin
Authors: Du Lijuan , Gan Yuyang , Zheng Bowen , Huang Junfei , Hu Zhiqi , Miao Yong 
Published: May 2023

Abstract
Background
The dermal papilla cells are a specialized population of mesenchymal cells located at the base of the hair follicle (HF), which possess the capacity to regulate HF morphogenesis and regeneration. However, lack of cell-type specific surface markers restricts the isolation of DP cells and application for tissue engineering purposes.

Methods
We describe a novel force-triggered density gradient sedimentation (FDGS) method to efficiently obtain purified follicular DP-spheres cells from neonatal mouse back skin, utilizing only centrifugation and optimized density gradients.

Results
Expression of characteristic DP cell markers, alkaline phosphatase, β-catenin, versican, and neural cell adhesion molecules, were confirmed by immunofluorescence. Further, the patch assays demonstrated that DP cells maintained their hair regenerative capacity in vivo. Compared with current methods, including microdissection and fluorescence-activated cell sorting, the FDGS technique is simpler and more efficient for isolating DP cells from neonatal mouse skin.

Conclusions
The FDGS method will improve the research potential of neonatal mouse pelage-derived DP cells for tissue engineering purposes.
Integrated analysis of robust sex-biased gene signatures in human brain
Authors: Wapeesittipan Pattama , Joshi Anagha 
Published: May 2023

Abstract
Background
Sexual dimorphism is highly prominent in mammals with many physiological and behavioral differences between male and female form of the species. Accordingly, the fundamental social and cultural stratification factors for humans is sex. The sex differences are thought to emerge from a combination of genetic and environmental factors. It distinguishes individuals most prominently on the reproductive traits, but also affects many of the other related traits and manifest in different disease susceptibilities and treatment responses across sexes. Sex differences in brain have raised a lot of controversy due to small and sometimes contradictory sex-specific effects. Many studies have been published to identify sex-biased genes in one or several brain regions, but the assessment of the robustness of these studies is missing. We therefore collected huge amount of publicly available transcriptomic data to first estimate whether consistent sex differences exist and further explore their likely origin and functional significance.

Results and conclusion
In order to systematically characterise sex-specific differences across human brain regions, we collected transcription profiles for more than 16,000 samples from 46 datasets across 11 brain regions. By systematic integration of the data from multiple studies, we identified robust transcription level differences in human brain across to identify male-biased and female-biased genes in each brain region. Firstly, both male and female-biased genes were highly conserved across primates and showed a high overlap with sex-biased genes in other species. Female-biased genes were enriched for neuron-associated processes while male-biased genes were enriched for membranes and nuclear structures. Male-biased genes were enriched on the Y chromosome while female-biased genes were enriched on the X chromosome, which included X chromosome inactivation escapees explaining the origins of some sex differences. Male-biased genes were enriched for mitotic processes while female-biased genes were enriched for synaptic membrane and lumen. Finally, sex-biased genes were enriched for drug-targets and more female-biased genes were affected by adverse drug reactions than male-biased genes. In summary, by building a comprehensive resource of sex differences across human brain regions at gene expression level, we explored their likely origin and functional significance. We have also developed a web resource to make the entire analysis available for the scientific community for further exploration, available at https://joshiapps.cbu.uib.no/SRB_app/
Effect of the identification group size and image resolution on the diagnostic performance of metabolic Alzheimer’s disease-related pattern
Authors: Štokelj Eva , Tomše Petra , Tomanič Tadej , Dhawan Vijay , Eidelberg David , Trošt Maja , Simončič Urban ,   for the Alzheimer’s Disease Neuroimaging Initiative
Published: May 2023

Abstract
Background
Alzheimer’s disease-related pattern (ADRP) is a metabolic brain biomarker of Alzheimer’s disease (AD). While ADRP is being introduced into research, the effect of the size of the identification cohort and the effect of the resolution of identification and validation images on ADRP’s performance need to be clarified.

Methods
240 2-[18F]fluoro-2-deoxy-d-glucose positron emission tomography images [120 AD/120 cognitive normals (CN)] were selected from the Alzheimer's disease neuroimaging initiative database. A total of 200 images (100 AD/100 CN) were used to identify different versions of ADRP using a scaled subprofile model/principal component analysis. For this purpose, five identification groups were randomly selected 25 times. The identification groups differed in the number of images (20 AD/20 CN, 30 AD/30 CN, 40 AD/40 CN, 60 AD/60 CN, and 80 AD/80 CN) and image resolutions (6, 8, 10, 12, 15 and 20 mm). A total of 750 ADRPs were identified and validated through the area under the curve (AUC) values on the remaining 20 AD/20 CN with six different image resolutions.

Results
ADRP’s performance for the differentiation between AD patients and CN demonstrated only a marginal average AUC increase, when the number of subjects in the identification group increases (AUC increase for about 0.03 from 20 AD/20 CN to 80 AD/80 CN). However, the average of the lowest five AUC values increased with the increasing number of participants (AUC increase for about 0.07 from 20 AD/20 CN to 30 AD/30 CN and for an additional 0.02 from 30 AD/30 CN to 40 AD/40 CN). The resolution of the identification images affects ADRP’s diagnostic performance only marginally in the range from 8 to 15 mm. ADRP’s performance stayed optimal even when applied to validation images of resolution differing from the identification images.

Conclusions
While small (20 AD/20 CN images) identification cohorts may be adequate in a favorable selection of cases, larger cohorts (at least 30 AD/30 CN images) shall be preferred to overcome possible/random biological differences and improve ADRP’s diagnostic performance. ADRP’s performance stays stable even when applied to the validation images with a resolution different than the resolution of the identification ones.
Knowledge, attitudes and behaviour of Egyptians towards antibiotic use in the community: can we do better?
Authors: Maarouf Lina , Amin Mohamed , Evans Benjamin A. , Abouelfetouh Alaa 
Published: May 2023

Abstract
Background
Infectious diseases are among the leading causes of death worldwide. This is concerning because of the increasing capacity of the pathogens to develop antibiotic resistance. Antibiotic overuse and misuse remain the main drivers of resistance development. In the USA and Europe, annual campaigns raise awareness of antibiotic misuse hazards and promote their judicial use. Similar efforts are lacking in Egypt. This study assessed the knowledge of the public in Alexandria, Egypt of antibiotic misuse risks and their habits towards antibiotic use, in addition to conducting a campaign to increase awareness of the safe use of antibiotics.

Methods
A questionnaire assessing knowledge, attitudes and behaviour towards antibiotics was used to collect responses from study participants at various sports clubs in Alexandria in 2019. An awareness campaign to correct misconceptions and a post awareness survey followed.

Results
Most of the participants were well-educated (85%), in their middle age (51%) and took antibiotics last year (80%). 22% would take an antibiotic for common cold. This dropped to 7% following the awareness. There was a 1.6 time increase in participants who would start an antibiotic on a healthcare professional’s advice following the campaign. A 1.3 time increase in participants who would finish an antibiotic regimen was also observed. The campaign made all participants recognize that unwise antibiotic use is harmful to them or others; and 1.5 more participants would spread the word about antibiotic resistance. Despite learning of the risks of antibiotic use, there was no change in how often participants thought they should take antibiotics.

Conclusions
Although awareness of antibiotic resistance is rising, some wrong perceptions hold fast. This highlights the need for patient and healthcare-tailored awareness sessions as part of a structured and national public health program directed to the Egyptian population.
Dual inhibition of IDO1/TDO2 enhances anti-tumor immunity in platinum-resistant non-small cell lung cancer
Authors: Wu Chunjing , Spector Sydney A. , Theodoropoulos George , Nguyen Dan J. M. , Kim Emily Y. , Garcia Ashley , Savaraj Niramol , Lim Diane C. , Paul Ankita , Feun Lynn G. , Bickerdike Michael , Wangpaichitr Medhi 
Published: May 2023

Abstract
Background
The impact of non-small cell lung cancer (NSCLC) metabolism on the immune microenvironment is not well understood within platinum resistance. We have identified crucial metabolic differences between cisplatin-resistant (CR) and cisplatin-sensitive (CS) NSCLC cells with elevated indoleamine 2,3-dioxygenase-1 (IDO1) activity in CR, recognized by increased kynurenine (KYN) production.

Methods
Co-culture, syngeneic, and humanize mice models were utilized. C57BL/6 mice were inoculated with either Lewis lung carcinoma mouse cells (LLC) or their platinum-resistant counterpart (LLC-CR) cells. Humanized mice were inoculated with either A (human CS cells) or ALC (human CR cells). Mice were treated with either IDO1 inhibitor or TDO2 (tryptophan 2,3-dioxygenase-2) inhibitor at 200 mg/kg P.O. once a day for 15 days; or with a new-in-class, IDO1/TDO2 dual inhibitor AT-0174 at 170 mg/kg P.O. once a day for 15 days with and without anti-PD1 antibody (10 mg/kg, every 3 days). Immune profiles and KYN and tryptophan (TRP) production were evaluated.

Results
CR tumors exhibited a more highly immunosuppressive environment that debilitated robust anti-tumor immune responses. IDO1-mediated KYN production from CR cells suppressed NKG2D on immune effector natural killer (NK) and CD8+ T cells and enhanced immunosuppressive populations of regulatory T cells (Tregs) and myeloid-derived suppressor cells (MDSCs). Importantly, while selective IDO1 inhibition attenuated CR tumor growth, it concomitantly upregulated the TDO2 enzyme. To overcome the compensatory induction of TDO2 activity, we employed the IDO1/TDO2 dual inhibitor, AT-0174. Dual inhibition of IDO1/TDO2 in CR mice suppressed tumor growth to a greater degree than IDO1 inhibition alone. Significant enhancement in NKG2D frequency on NK and CD8+ T cells and a reduction in Tregs and MDSCs were observed following AT-1074 treatment. PD-L1 (programmed death-ligand-1) expression was increased in CR cells; therefore, we assessed dual inhibition + PD1 (programmed cell death protein-1) blocking and report profound anti-tumor growth and improved immunity in CR tumors which in turn extended overall survival in mice.

Conclusion
Our study reports the presence of platinum-resistant lung tumors that utilize both IDO1/TDO2 enzymes for survival, and to escape immune surveillance as a consequence of KYN metabolites. We also report early in vivo data in support of the potential therapeutic efficacy of the dual IDO1/TDO2 inhibitor AT-0174 as a part of immuno-therapeutic treatment that disrupts tumor metabolism and enhances anti-tumor immunity.
Context drives movement patterns in a mobile marine predator
Authors: Lubitz Nicolas , Daly Ryan , Filmalter John D , Sheaves Marcus , Cowley Paul D , Naesje Tor F , Barnett Adam 
Published: May 2023

AbstractIntra-specific variability in movement behaviour occurs in all major taxonomic groups. Despite its common occurrence and ecological consequences, individual variability is often overlooked. As a result, there is a persistent gap in knowledge about drivers of intra-specific variability in movement and its role in fulfilling life history requirements. We apply a context-focused approach to bull sharks (Carcharhinus leucas), a highly mobile marine predator, incorporating intra-specific variability to understand how variable movement patterns arise and how they might be altered under future change scenarios. Spatial analysis of sharks, acoustically tagged both at their distributional limit and the centre of distribution in southern Africa, was combined with spatial analysis of acoustically tagged teleost prey and remote-sensing of environmental variables. The objective was to test the hypothesis that varying resource availability and magnitude of seasonal environmental change in different locations interact to produce variable yet predictable movement behaviours across a species’ distribution. Sharks from both locations showed high seasonal overlap with predictable prey aggregations. Patterns were variable in the centre of distribution, where residency, small- and large-scale movements were all recorded. In contrast, all animals from the distributional limit performed ‘leap-frog migrations’, making long-distance migrations bypassing conspecifics in the centre of distribution. By combining multiple variables related to life history requirements for animals in different environments we identified combinations of key drivers that explain the occurrence of differing movement behaviours across different contexts and delineated the effects of environmental factors and prey dynamics on predator movement. Comparisons with other taxa show striking similarities in patterns of intra-specific variability across terrestrial and marine species, suggesting common drivers.