bluuebunny/crossref_metadata_2025 huggingface dataset:
Dissection of the potential anti‐diabetes mechanism of salvianolic acid B by metabolite profiling and network pharmacology
Authors: Zhang Feng‐xiang , Cui Shuang‐shuang , Yuan Yu‐lin‐lan , Li Chang , Li Rui‐man
Published: October 2021

Rationale

Salvianolic acid B (Sal B), the Q‐marker in Salvia miltiorrhiza, was proved to present an obvious anti‐diabetes effect when treated as a food intake. Until now, the metabolism feature, tissue distribution and anti‐diabetes mechanism of Sal B have not been fully elucidated.

Methods

The metabolites of Sal B in rats were profiled using ultrahigh‐performance liquid chromatography coupled with time‐of‐flight mass spectrometry. The potential anti‐diabetes mechanism of Sal B was predicted by network pharmacology.

Results

A total of 31 metabolites were characterized in rats after ingestion of Sal B at a dosage of 40 mg/kg, including 1 in plasma, 19 in urine, 31 in feces, 0 in heart, 0 in liver, 0 in spleen, 1 in lung, 1 in kidney and 0 in brain. Among them, 18 metabolites were reported for the first time. Phase I reactions of hydrolysis, hydrogenation, dehydroxylation, hydroxylation, decarboxylation and isomerization, and phase II reactions of methylation were found in Sal B. Notably, decarboxylation and dehydroxylation were revealed in Sal B for the first time. The pharmacology network results showed that Sal B and its metabolites could regulate ALB, PLG, ACE, CASP3, MMP9, MMP2, MTOR, etc. The above targets were involved in insulin signaling pathway, PI3K‐Akt signaling pathway, HIF‐1 signaling pathway, TNF signaling pathway, etc.

Conclusions

The metabolism feature of Sal B in vivo was systematically revealed, and its anti‐diabetes mechanism for further pharmacological validations was predicted based on metabolite profiling and network pharmacology for the first time.
Afterword: Quantifying, Mediating and Intervening: The R Number and the Politics of Health in the Twenty-First Century
Authors: Miller Peter
Published: October 2021

This essay discusses the unassailable power and popularity that numbers have come to assume during the COVID-19 pandemic. Epidemiological statistics have come to play a remarkable and public role, regulating our lives, while shaping and justifying political decisions. This essay traces the emergence of one particular number, the “R” number or reproduction number in multiple and dispersed sites, drawing attention to the bifurcation of demography and epidemiology in its emergence. It examines how and why the R number came to act as a crucial mediating instrument during the pandemic, linking the health and well-being of the population with the health of the economy and supporting arguments both in favour of and against restrictions of various kinds.
Quantifying Inequality: From Contentious Politics to the Dream of an Indifferent Power
Authors: De Leonardis Ota
Published: October 2021

The historical meaning of inequality as a bond of domination and subjection at the centre of the vertical political architecture of modernity has been replaced by reference to quantitatively expressed distributive differences. This paper examines the role of the poverty threshold in reconfiguring the welfare field and establishing a binary syntax; the spread of spatial artefacts inscribing unequal positions into space through separation; and numbers that provide the language for measuring the distance between positions. Quantification matters in instrumental and expressive terms: together with tools for knowledge and action, it also provides visions. Further, the vision expressed in the quantified distance that frames inequality corresponds to the dream of a domination free from any bond with the dominated, being cognitively and morally indifferent to it.
Archaeology of a Quantification Device: Quantification, Policies and Politics in French Higher Education
Authors: Eyraud Corine
Published: October 2021

This paper follows a quantification device – French higher education performance indicators – from its birth through its construction to its uses. It differentiates three levels of analysis. First, the bedrock level: a calculative device is grounded in a founding vision. Second, the intermediate level: a quantification device contains a conception of the “raisons d’être” of the entity that is quantified. Third, the level of the micro-conventions of calculation which can give a particular orientation. However, the device is part of a larger configuration which constitutes the fourth dimension of our analytical grid. Levels and context are the fruit of socio-historical processes which can, but must not, lead to maximum coherence. Here, the device is not a very integrated assemblage, which explains its limited effects.
The Role of Non-essential Amino Acids in T Cell Function and Anti-tumour Immunity
Authors: Hope Helen Carrasco , Salmond Robert J.
Published: October 2021

T cell activation, differentiation and proliferation is dependent upon and intrinsically linked to a capacity to modulate and adapt cellular metabolism. Antigen-induced activation stimulates a transcriptional programme that results in metabolic reprogramming, enabling T cells to fuel anabolic metabolic pathways and provide the nutrients to sustain proliferation and effector responses. Amino acids are key nutrients for T cells and have essential roles as building blocks for protein synthesis as well as in numerous metabolic pathways. In this review, we discuss the roles for uptake and biosynthesis of non-essential amino acids in T cell metabolism, activation and effector function. Furthermore, we highlight the effects of amino acid metabolism and depletion by cancer cells on T cell anti-tumour function and discuss approaches to modulate and improve T cell metabolism for improved anti-tumour function in these nutrient-depleted microenvironments.
CT classification model of pancreatic serous cystic neoplasms and mucinous cystic neoplasms based on a deep neural network
Authors: Yang Rong , Chen Yizhou , Sa Guo , Li Kangjie , Hu Haigen , Zhou Jie , Guan Qiu , Chen Feng
Published: October 2021

Background

At present, numerous challenges exist in the diagnosis of pancreatic SCNs and MCNs. After the emergence of artificial intelligence (AI), many radiomics research methods have been applied to the identification of pancreatic SCNs and MCNs.

Purpose

A deep neural network (DNN) model termed Multi-channel-Multiclassifier-Random Forest-ResNet (MMRF-ResNet) was constructed to provide an objective CT imaging basis for differential diagnosis between pancreatic serous cystic neoplasms (SCNs) and mucinous cystic neoplasms (MCNs).

Materials and methods

This study is a retrospective analysis of pancreatic unenhanced and enhanced CT images in 63 patients with pancreatic SCNs and 47 patients with MCNs (3 of which were mucinous cystadenocarcinoma) confirmed by pathology from December 2010 to August 2016. Different image segmented methods (single-channel manual outline ROI image and multi-channel image), feature extraction methods (wavelet, LBP, HOG, GLCM, Gabor, ResNet, and AlexNet) and classifiers (KNN, Softmax, Bayes, random forest classifier, and Majority Voting rule method) are used to classify the nature of the lesion in each CT image (SCNs/MCNs). Then, the comparisons of classification results were made based on sensitivity, specificity, precision, accuracy, F1 score, and area under the receiver operating characteristic curve (AUC), with pathological results serving as the gold standard.

Results

Multi-channel-ResNet (AUC 0.98) was superior to Manual-ResNet (AUC 0.91).CT image characteristics of lesions extracted by ResNet are more representative than wavelet, LBP, HOG, GLCM, Gabor, and AlexNet. Compared to the use of three classifiers alone and Majority Voting rule method, the use of the MMRF-ResNet model exhibits a better evaluation effect (AUC 0.96) for the classification of the pancreatic SCNs and MCNs.

Conclusion

The CT image classification model MMRF-ResNet is an effective method to distinguish between pancreatic SCNs and MCNs.

Graphic abstract
The Effect of Mandatory Play Breaks on Subsequent Gambling Behavior Among Norwegian Online Sports Betting, Slots and Bingo Players: A Large-scale Real World Study
Authors: Hopfgartner Niklas , Auer Michael , Santos Tiago , Helic Denis , Griffiths Mark D.
Published: October 2021

In order to protect gamblers, gambling operators have introduced a wide range of responsible gambling (RG) tools. Mandatory play breaks (i.e., forced termination of a gambling session) and personalized feedback about the gambling expenditure are two RG tools that are frequently used. While the motivation behind mandatory play breaks is simple (i.e., gambling operators expect gamblers to reduce their gambling significantly as a result of an enforced break in play), empirical evidence supporting the efficacy of the mandatory breaks is still limited. The present study comprised a real-world experiment with the clientele of Norwegian gambling operator Norsk Tipping. On the Norsk Tipping gambling website, which offers slots, bingo and sports-betting, forced termination occurs if gamblers have played continuously for a one-hour period. The study tested the effect of different lengths of mandatory play breaks (90 s, 5 min, 15 min) on subsequent gambling behavior, as well as the effect of combined personalized feedback concerning money wagered, won, and net win/loss. In total 21,129 online players (61% male; mean age = 47.4 years) experienced at least one play break between April 17 and May 21 (2020) with 156,989 mandatory play breaks in total. Results indicated that a 15-min mandatory play break led to a disproportionately longer voluntary play pause compared to 5-min and 90-s mandatory play breaks. Personalized feedback appeared to have no additional effect on subsequent gambling and none of the mandatory play breaks appeared to affect the increase or decrease in money wagered once players started to gamble again.
Unlocking a nose landing gear in different flight conditions: folds, cusps and a swallowtail
Authors: Knowles James A. C. , Krauskopf Bernd , Coetzee Etienne B.
Published: October 2021

This paper investigates the unlocking of a non-conventional nose landing gear mechanism that uses a single lock to fix the landing gear in both its downlocked and uplocked states (as opposed to having two separate locks as in most present nose landing gears in operation today). More specifically, we present a bifurcation analysis of a parameterized mathematical model for this mechanical system that features elastic constraints and takes into account internal and external forces. This formulation makes it possible to employ numerical continuation techniques to determine the robustness of the proposed unlocking strategy with respect to changing aircraft attitude. In this way, we identify as a function of several parameters the steady-state solutions of the system, as well as their bifurcations: fold bifurcations where two steady states coalesce, cusp points on curves of fold bifurcations, and a swallowtail bifurcation that generates two cusp points. Our results are presented as surfaces of steady states, joined by curves of fold bifurcations, over the plane of retraction actuator force and unlock actuator force, where we consider four scenarios of the aircraft: level flight; steep climb; steep descent; intermediate descent. A crucial cusp point is found to exist irrespective of aircraft attitude: it corresponds to the mechanism being at overcentre, which is a position that creates a mechanical singularity with respect to the effect of forces applied by the actuators. Furthermore, two cusps on a key fold locus are unfolded in a (codimension-three) swallowtail bifurcation as the aircraft attitude is changed: physical factors that create these bifurcations are presented. A practical outcome of this research is the realization that the design of this and other types of landing gear mechanism should be undertaken by considering the effects of forces over considerable ranges, with a special focus on the overcentre position, to ensure a smooth retraction occurs. More generally, continuation methods are shown to be a valuable tool for determining the overall geometric structure of steady states of mechanisms subject to (external) forces.
A minimum-time obstacle-avoidance path planning algorithm for unmanned aerial vehicles
Authors: De Marinis Arturo , Iavernaro Felice , Mazzia Francesca
Published: October 2021

In this article, we present a new strategy to determine an unmanned aerial vehicle trajectory that minimizes its flight time in presence of avoidance areas and obstacles. The method combines classical results from optimal control theory, i.e. the Euler-Lagrange Theorem and the Pontryagin Minimum Principle, with a continuation technique that dynamically adapts the solution curve to the presence of obstacles. We initially consider the two-dimensional path planning problem and then move to the three-dimensional one, and include numerical illustrations for both cases to show the efficiency of our approach.
High Temperature Oxidation Performance of an Additively Manufactured Mo–9Si–8B Alloy
Authors: Becker Julia , Schmigalla Sven , Schultze Sabine , Rittinghaus Silja-Katharina , Weisheit Andreas , Schmelzer Janett , Krüger Manja
Published: October 2021

As reported in previous studies, the processing of Mo–Si–B alloys using additive manufacturing (AM) techniques, like directed energy deposition (DED) shows a high technical feasibility. The present work investigates the cyclic oxidation performance of an AM DED Mo–9Si–8B alloy. Depending on the temperature (800 °C, 1100 °C, 1300 °C), the oxidation mechanisms vary, which is due to different reactions at the surface of the alloys accompanied with mass changes of samples. These mass changes can be explained on the basis of microstructural investigations. However, compared to a powder metallurgically processed Mo–9Si–8B alloy, the AM-DED alloy shows competitive oxidation performance at potential application temperatures of 1100 °C and 1300 °C, while a catastrophic materials degradation occurs at 800 °C as also observed in other Mo-rich Mo–Si–B alloys.
Association between air pollution and COVID-19 mortality and morbidity
Authors: Semczuk-Kaczmarek Karolina , Rys-Czaporowska Anna , Sierdzinski Janusz , Kaczmarek Lukasz Dominik , Szymanski Filip Marcin , Platek Anna Edyta
Published: October 2021

Coronavirus disease (COVID-19) pandemic is affecting the world unevenly. One of the highest numbers of cases were recorded in the most polluted regions worldwide. The risk factors for severe COVID-19 include diabetes, cardiovascular, and respiratory diseases. It has been known that the same disease might be worsened by chronic exposure to air pollution. The study aimed to determine whether long-term average exposure to air pollution is associated with an increased risk of COVID-19 cases and deaths in Poland. The cumulative number of COVID-19 cases and deaths for each voivodeship (the main administrative level of jurisdictions) in Poland were collected from March 4, 2020, to May 15, 2020. Based on the official data published by Chief Inspectorate of Environmental Protection voivodeship-level long-term exposure to main air pollution: PM2.5, PM10, NO2, SO2, O3 (averaged from 2013 to 2018) was established. There were statistically significant correlation between COVID-19 cases (per 100,000 population) and annual average concentration of PM2.5 (R2 = 0.367, p = 0.016), PM10 (R2 = 0.415, p = 0.009), SO2 (R2 = 0.489, p = 0.003), and O3 (R2 = 0.537, p = 0.0018). Moreover, COVID-19 deaths (per 100,000 population) were associated with annual average concentration of PM2.5 (R2 = 0.290, p = 0.038), NO2 (R2 = 0.319, p = 0.028), O3 (R2 = 0.452, p = 0.006). The long-term exposure to air pollution, especially PM2.5, PM10, SO2, NO2, O3 seems to play an essential role in COVID-19 prevalence and mortality. Long-term exposure to air pollution might increase the susceptibility to the infection, exacerbates the severity of SARS-CoV-2 infections, and worsens the patients’ prognosis. The study provides generalized and possible universal trends. Detailed analyzes of the phenomenon dedicated to a given region require taking into account data on comorbidities and socioeconomic variables as well as information about the long-term exposure to air pollution and COVID-19 cases and deaths at smaller administrative level of jurisdictions (community or at least district level).
"COVID-19 spreads round the planet, and so do paranoid thoughts". A qualitative investigation into personal experiences of psychosis during the COVID-19 pandemic
Authors: Lyons Minna , Bootes Ellen , Brewer Gayle , Stratton Katie , Centifanti Luna
Published: October 2021

The COVID-19 pandemic is likely to affect people who have had previous experiences of psychosis – either positively or negatively. A research gap exists in looking at qualitative experiences of the pandemic. In the present study, we address the research gap in those who self-identified as having psychosis via Reddit discussion forum posts, collecting data from a popular online community. Sixty-five posts were analysed using inductive thematic analysis. Five overarching themes were identifie; declining mental health, changed psychosis experiences, personal coping experiences, social connectedness and disconnectedness, and COVID-19 as a metaphor. The data show that there are varied experiences associated with the pandemic. People who have experiences of psychosis do not only have vulnerabilities but may also perceive themselves as having strengths that allow them to cope better.
The Financial Impacts of COVID-19 on United Methodist Churches in North Carolina: A Qualitative Study of Pastors’ Perspectives and Strategies
Authors: Eagle David E. , Johnston Erin , Headley Jennifer , Holleman Anna
Published: October 2021

Background

In the wake of the COVID-19 pandemic, churches in the United States were forced to stop meeting in person and move to remote forms of worship and congregational life. This shift likely impacted congregational finances, which are primarily driven by individual donations. Initial research has suggested that there is a great deal of heterogeneity in the financial impact on congregations, but there has been scant research examining how pastors and congregations are managing finances during this period.

Purpose

This research examines the impact of COVID-19 and its associated restrictions on congregational finances and the strategies pastors used to adapt their church's finances to the health restrictions.

Methods

We conducted in-depth, qualitative interviews with 50 pastors in the North Carolina and Western North Carolina Conferences of the United Methodist Church appointed to 70 congregations. Using applied thematic analysis, we analyzed transcripts at both the pastor and congregation-level to identify similarities and differences in financial impact, financial strategies, and pastor experiences during the pandemic.

Results

Most congregations reported small decreases in giving that were offset by federal Paycheck Protection Program (PPP) loans and other grants from the denomination. Some congregations, mostly urban and fairly large, reported significant increases in giving, while several other, predominantly small congregations, reported their church's finances had been negatively impacted by the pandemic. Even in cases where the net impact of the pandemic was small or non-existent, pastors were forced to adopt a host of new strategies to manage finances. In general, small and large congregations experienced and responded to the financial impact of the pandemic very differently.and Implications.

Conclusions

This research suggests that the pandemic's impact on congregational finances were more than just on the bottom line. And while most churches weathered the economic challenges without severe impacts, questions remain as to the long-term impact of the pandemic on church finances.
When Disaster Risk Management Systems Fail: The Case of Cyclone Idai in Chimanimani District, Zimbabwe
Authors: Munsaka Edson , Mudavanhu Chipo , Sakala Lucy , Manjeru Pepukai , Matsvange Diego
Published: October 2021

On 14 March 2019, Zimbabwe was hit by Cyclone Idai, leaving immeasurable destruction of unprecedented magnitude in its wake. In Chimanimani District, many lives were lost, many people were reported missing, and others were displaced. The question that immediately comes to mind is: Was the country prepared to manage the Cyclone Idai disaster? Reflecting on the community experiences, the purpose of this research was to interrogate the strength of the disaster risk reduction legislation and institutions in Zimbabwe in the face of meteorological hazards. The research also evaluated the extent of the impact Cyclone Idai had on the Chimanimani communities and the factors that increased the vulnerability to the cyclone. A mixed method approach that involved 1180 participants was used. The study found that disaster risk management legislation and institutions in Zimbabwe are weak. Cyclone Idai resulted in the loss of many human lives, loss of livelihoods, and massive damage to infrastructure. The cyclone exposed capacity and policy gaps in Zimbabwe’s disaster risk management system. The study makes a number of recommendations, including strengthening disaster legislation and policy, and disaster risk governance. Given the communities’ response to the disaster occurrence, the study also recommends strengthening social capital.
PROUD-MAL: static analysis-based progressive framework for deep unsupervised malware classification of windows portable executable
Authors: Rizvi Syed Khurram Jah , Aslam Warda , Shahzad Muhammad , Saleem Shahzad , Fraz Muhammad Moazam
Published: October 2021

Enterprises are striving to remain protected against malware-based cyber-attacks on their infrastructure, facilities, networks and systems. Static analysis is an effective approach to detect the malware, i.e., malicious Portable Executable (PE). It performs an in-depth analysis of PE files without executing, which is highly useful to minimize the risk of malicious PE contaminating the system. Yet, instant detection using static analysis has become very difficult due to the exponential rise in volume and variety of malware. The compelling need of early stage detection of malware-based attacks significantly motivates research inclination towards automated malware detection. The recent machine learning aided malware detection approaches using static analysis are mostly supervised. Supervised malware detection using static analysis requires manual labelling and human feedback; therefore, it is less effective in rapidly evolutionary and dynamic threat space. To this end, we propose a progressive deep unsupervised framework with feature attention block for static analysis-based malware detection (PROUD-MAL). The framework is based on cascading blocks of unsupervised clustering and features attention-based deep neural network. The proposed deep neural network embedded with feature attention block is trained on the pseudo labels. To evaluate the proposed unsupervised framework, we collected a real-time malware dataset by deploying low and high interaction honeypots on an enterprise organizational network. Moreover, endpoint security solution is also deployed on an enterprise organizational network to collect malware samples. After post processing and cleaning, the novel dataset consists of 15,457 PE samples comprising 8775 malicious and 6681 benign ones. The proposed PROUD-MAL framework achieved an accuracy of more than 98.09% with better quantitative performance in standard evaluation parameters on collected dataset and outperformed other conventional machine learning algorithms. The implementation and dataset are available at https://bit.ly/35Sne3a.
Lake water quality observed after extreme rainfall events: implications for water quality affected by stormy runoff
Authors: Fukushima Takehiko , Kitamura Tatsumi , Matsushita Bunkei
Published: October 2021

To investigate the effects of extreme rainfall events (EREs) on lake water quality, we analyzed the lake monthly monitoring data at the stations close to inflow rivers. We tested the hypothesis that the effects depend on rainfall magnitude, season, distance from the rivers, etc. The highest correlations with many water-quality indicators were obtained for the rainfall amount for the preceding 10 days before the water sampling days; i.e., negatively with Na+, Cl−, chlorophyll a (Chla), and COD, and positively with ortho-phosphate. We used the threshold of rainfall amount ≥ 140 mm to choose EREs and evaluate the water quality on such occasions because quite low values of Na+, Cl−, and Chla thresholds (≤ 25th percentile) were observed in some of the EREs. The event samples (group 1; G1) meeting the above thresholds probably represented the inflow waters during EREs (generally occurred in Oct–May), and the others (group 2; G2) indicated significant changes in the lakes (Jun to Sep), probably depending on the lake’s state of primary production. In the events of lower rainfall events (50 mm to 140 mm for 10 days), fast recoveries of algal production usually occurred even in Oct to May. The values of COD, total phosphorus, and ortho-phosphate in G1 were higher than the values of river water quality in the baseflow conditions, whereas both the G1 and baseflow values of nitrogen were nearly the same. The effects of ERFs on lake water quality from the viewpoints of tempo-longitudinal distributions, future monitoring, and climate change were discussed.
Suitability of DIC and ESPI optical methods for monitoring fatigue damage development in X10CrMoVNb9-1 power engineering steel
Authors: Kopec M. , Brodecki A. , Kukla D. , Kowalewski Z. L.
Published: October 2021

The aim of this research was to compare the effectiveness of two different optical measurement techniques (digital image correlation—DIC and electronic speckle pattern interferometry—ESPI) during fatigue damage development monitoring in X10CrMoVNb9-1 (P91) power engineering steel for pipes. The specimens machined from the as-received pipe were subjected to fatigue loadings and monitored simultaneously using DIC and ESPI techniques. It was found that DIC technique, although characterised by lower resolution, was more effective than ESPI. DIC allows to monitor the fatigue behaviour of steel specimens and accurately indicate the area of potential failure even within the initial stage of fatigue damage development.
Prevalence of endocrine disorders among children exposed to Lavender Essential Oil and Tea Tree Essential Oils
Authors: Hawkins Jessie , Hires Christy , Dunne Elizabeth , Keenan Lindsey
Published: October 2021

Background:

Lavender essential oil and tea tree essential oil have become popular ingredients in personal care and household products in recent decades. Questions regarding the safety of these oils in pediatric populations have been raised, proposing a link between these essential oils and endocrine disruption in children, specifically prepubertal gynecomastia. To date, no epidemiological studies have been conducted to evaluate this proposed link.

Methods:

This is a cross sectional study conducted among parents of children in the United States to identify the prevalence of endocrine disruption in children aged 2—15 years old. This study also evaluates the potential for a relationship between the exposure of lavender essential oil and tea tree essential oil products and endocrine disrupting outcomes.

Results:

In 556 children with a mean age of 6.33 (SD = 3.92), prevalence of endocrine disruption was .016 (SD = 0.13). No cases of prepubertal gynecomastia were identified in either group, and prevalence of precocious puberty, delayed puberty, growth hormone deficiency, and hypothyroidism were all consis-tent with population norms. Total risk of endocrine disorders among those exposed (0.0194) did not differ from the risk of those unexposed (0.0069). The risk ratio was 2.796 (95% CI: 0.352,22.163, P = .458).

Conclusion:

Children who were regularly exposed to lavender or tea tree essential oils experienced the same risk of endocrine disorders as those who were not exposed.
Closed Reduction of Anterior Shoulder Dislocations Performed by Ski Patrollers in the Alpine Prehospital Environment: A Retrospective Review Demonstrating Efficacy in a Canadian Ski Resort
Authors: Mulvey Jamin M. , Carson Ira N. , Palmer Kevin A.
Published: October 2021

Introduction

Shoulder dislocations are common ski hill injuries. Rapid reduction is known to improve outcomes; however, advanced providers are not always available to provide care to these patients. In 2017, nonmedical ski patrollers at Sunshine Village ski resort in Alberta, Canada, were trained to perform anterior shoulder dislocation (ASD) reductions. Program success was determined by a chart review after the 2020 ski season.

Methods

This study retrospectively reviewed data on patients who presented to Sunshine Village ski patrol with a suspected ASD and who met the study inclusion criteria from November 2017 through March 2020. Data were collected from ski patrol electronic patient care records regarding general demographics, reduction technique used, analgesia administration, and reduction success rates.

Results

Ninety-six cases were available for review after exclusions. Trained nonmedical ski patrollers successfully reduced 82 of these cases, resulting in an overall reduction success rate of 89%. Sixty-three (66%) of these patients had experienced first-time dislocations. Eighty-two (87%) patients were male, with a median age of 25 y. The most used technique was the Cunningham method (75%), and analgesia was administered to 70% of patients.

Conclusions

This retrospective study documents the results of a quality assurance review of the treatment of ASD at Sunshine Village ski resort. With a success rate of 89%, the evidence supports the conclusion that nonmedical ski patrollers can successfully perform ASD reductions. We believe training ski patrollers to reduce ASD improved patient care in our austere environment by providing early definitive treatment with a high success rate.
Wilderness Medical Society Clinical Practice Guidelines for the Prevention and Management of Tick-Borne Illness in the United States
Authors: Ho Benjamin M. , Davis Hillary E. , Forrester Joseph D. , Sheele Johnathan M. , Haston Taylor , Sanders Linda , Lee Mary Caroll , Lareau Stephanie , Caudell Michael , Davis Christopher B.
Published: October 2021

The Wilderness Medical Society convened an expert panel to develop evidence-based guidelines for the prevention and management of tick-borne illness (TBI). Recommendations are graded based on quality of supporting evidence according to criteria put forth by the American College of Chest Physicians. The guidelines include a brief review of the clinical presentation, epidemiology, prevention, and management of TBI in the United States, with a primary focus on interventions that are appropriate for resource-limited settings. Strong recommendations are provided for the use of DEET, picaridin, and permethrin; tick checks; washing and drying clothing at high temperatures; mechanical tick removal within 36 h of attachment; single-dose doxycycline for high-risk Lyme disease exposures versus “watchful waiting;” evacuation from backcountry settings for symptomatic tick exposures; and TBI education programs. Weak recommendations are provided for the use of light-colored clothing; insect repellents other than DEET, picaridin, and permethrin; and showering after exposure to tick habitat. Weak recommendations are also provided against passive methods of tick removal, including the use of systemic and local treatments. There was insufficient evidence to support the use of long-sleeved clothing and the avoidance of tick habitat such as long grasses and leaf litter. Although there was sound evidence supporting Lyme disease vaccination, a grade was not offered as the vaccine is not currently available for use in the United States.
High-fidelity aerodynamic modeling of an aircraft using OpenFoam – application on the CRJ700
Authors: Segui M. , Abel F.R. , Botez R.M. , Ceruti A.
Published: October 2021

This study is focused on the development of longitudinal aerodynamic models for steady flight conditions. While several commercial solvers are available for this type of work, we seek to evaluate the accuracy of an open source software. This study aims to verify and demonstrate the accuracy of the OpenFoam solver when it is used on basic computers (32–64GB of RAM and eight cores). A new methodology was developed to show how an aerodynamic model of an aircraft could be designed using OpenFoam software. The mesh and the simulations were designed only using OpenFoam utilities, such as blockMesh, snappyHexMesh, simpleFoam and rhoSimpleFoam. For the methodology illustration, the process was applied to the Bombardier CRJ700 aircraft and simulations were performed for its flight envelope, up to M0.79. Forces and moments obtained with the OpenFoam model were compared with an accurate flight data source (level D flight simulator). Excellent results in data agreement were obtained with a maximum absolute error of 0.0026 for the drag coefficient, thus validating a high-fidelity aerodynamic model for the Bombardier CRJ-700 aircraft.
DISCRIMINATION-FREE INSURANCE PRICING
Authors: Lindholm M. , Richman R. , Tsanakas A. , Wüthrich M.V.
Published: October 2021

We consider the following question: given information on individual policyholder characteristics, how can we ensure that insurance prices do not discriminate with respect to protected characteristics, such as gender? We address the issues of direct and indirect discrimination, the latter resulting from implicit learning of protected characteristics from nonprotected ones. We provide rigorous mathematical definitions for direct and indirect discrimination, and we introduce a simple formula for discrimination-free pricing, that avoids both direct and indirect discrimination. Our formula works in any statistical model. We demonstrate its application on a health insurance example, using a state-of-the-art generalized linear model and a neural network regression model. An important conclusion is that discrimination-free pricing in general requires collection of policyholders’ discriminatory characteristics, posing potential challenges in relation to policyholder’s privacy concerns.
The effects of absent fathers on adolescent criminal activity: an economic approach
Authors: Zimmer David M.
Published: October 2021

Simple ordinary least squares estimates indicate that absent fathers boost probabilities of adolescent criminal behavior by 16–38%, but those numbers likely are biased by unobserved heterogeneity. This paper first presents an economic model explaining that unobserved heterogeneity. Then turning to empirics, fixed effects, which attempt to address that bias, suggest that absent fathers reduce certain types of adolescent crime, while lagged-dependent variable models suggest the opposite. Those conflicting conclusions are resolved by an approach that combines those two estimators using an orthogonal reparameterization approach, with model parameters calculated using a Bayesian algorithm. The main finding is that absent fathers do not appear to directly affect adolescent criminal activity. Rather, families with absent fathers possess traits that appear to correlate with increased adolescent criminal behaviors.
The better angels of our digital nature? Offensive cyber capabilities and state violence
Authors: Egloff Florian J. , Shires James
Published: October 2021

Transformations in state violence are intimately associated with technological capacity. Like previous era-defining technologies, global digital networks have changed state violence. Offensive cyber capabilities (OCCs) appear to constitute a major technological development that offers the potential for reducing state violence. This article asks: are OCCs really the better angels of our digital nature? Current scholarship in strategic studies, adopting a narrow definition of violence, conceives of OCCs as largely non-violent. This ignores how technology has given rise to new forms of harm to individuals and communities, particularly in the context of violent state repression. We propose using an expanded definition of violence, including affective and community harms, and argue that OCCs relocate, rather than reduce, state violence towards non-bodily harms. Even though their lethal effects are limited, OCCs are not, as is supposed, a non-violent addition to state arsenals. This conclusion has important implications for international affairs, including re-orienting defensive cybersecurity efforts and altering calculations around the perception of OCCs by adversaries.
Interaction effects of socio-economic position in the association between eating location and diet quality in Portuguese children and adolescents: results from the National Food, Nutrition and Physical Activity Survey 2015–2016
Authors: Pimenta Pedro , Lopes Carla Maria Moura , Correia Daniela Macedo , Torres Duarte Paulo Martins , Rodrigues Sara Simões Pereira , Vilela Sofia
Published: October 2021

This study aims to evaluate the interaction effect of socio-economic environment (SEE) in the relationship between the eating location (EL) and diet quality, in children and adolescents. Data included Portuguese children and adolescents (3–17 years) from a National Dietary Survey Sample (IAN-AF 2015/2016,n987). Dietary intake was obtained by 2-d food diaries (children) or 2–24-h-recall (adolescents). Participants were classified into four groups of EL: ‘Home’, ‘Other homes’, ‘School’ and ‘Restaurants’. Diet quality was measured as a higher adherence to a healthy eating pattern. A previous developed socio-economic classification was used, and participants were grouped as belonging to a low socio-economic environment (LSE) or middle-high socio-economic environment (MHSE). Linear regression models were used to evaluate the association between EL and diet quality, stratified by the SEE. A statistically significant interaction effect was found (P< 0·01) for the SEE in the association between EL and diet quality. After adjustment for potential confounders, in LSE, participants belonging to ‘Other homes’ (β= –2·07; 95 % CI:–3·70, –0·44) and ‘Restaurants’ (β= –3·31; 95 % CI: –5·08, –1·54) had lower scores in the diet quality score, comparing to ‘Home’. In MHSE, comparing with ‘Home’, ‘Restaurants’ showed lower diet quality (β= –1·56; 95 % CI:–2·65, –0·48), while the ‘School’ had better diet quality (β= 0·90; 95 % CI: 0·16, 1·64). The SEE influences the association between EL and diet quality and, belonging to more disadvantaged SEE, might represent a higher risk of unhealthy eating habits when eating out-of-home.
Betaine supplementation fails to improve body composition: a systematic review and meta-analysis
Authors: Ashtary-Larky Damoon , Bagheri Reza , Tinsley Grant M. , Asbaghi Omid , Salehpour Sara , Kashkooli Sara , Kooti Wesam , Wong Alexei
Published: October 2021

Previous studies evaluating the effects of betaine supplementation on body composition offer contradictory findings. This systematic review and meta-analysis assessed the effects of betaine supplementation on body composition indices (body mass (BM), BMI, body fat percentage (BFP), fat mass (FM), fat-free mass (FFM)), and dietary intakes. Studies examining the effects of betaine supplementation on body composition and dietary intakes published up to August 2021 were identified through PubMed, the Cochrane Library, Web of Science, Embase, SCOPUS and Ovid databases. Betaine supplementation failed to significantly affect BM ((weighted mean difference (WMD): −0·40 kg, 95 % CI −1·46, 0·64), P = 0·447), BMI ((WMD: −0·05 kg/m2, 95 % CI −0·36, 0·25), P = 0·719), BFP ((WMD: 0·26 %, 95 % CI −0·82, 1·36), P = 0·663), FM ((WMD: −0·57 kg, 95 % CI −2·14, 0·99), P = 0·473) and FFM ((WMD: 0·61 kg, 95 % CI −1·27, 2·49), P = 0·527). Subgroup analyses based on participant’s age (< 40 and > 40 years), sex, BMI, trial duration (< 8 and ≥ 8 weeks), betaine supplementation dosage (< 4 and ≥ 4 g) and health status (healthy or unhealthy) demonstrated similar results. Other than a potential negligible increase in protein intake (WMD: 3·56 g, 95 % CI 0·24, 6·88, P = 0·035), no changes in dietary intakes were observed following betaine supplementation compared with control. The present systematic review and meta-analysis does not show any beneficial effects of betaine supplementation on body composition indices (BM, BMI, FM and FFM).
Access to Pharmaceutical Patents in the COVID-19 Emergency: A Case for Government Use in Nigeria
Authors: Adewopo Adebambo
Published: October 2021

The COVID-19 pandemic has continued to exert enormous pressure on public health policies and systems, with far-reaching implications. The race for vaccines has raised important intellectual property rights issues. These are evident in the need to advance the public interest and in the obligation of governments to address the challenge of access to vaccines, especially in sub-Saharan countries like Nigeria with relatively underdeveloped healthcare and innovation ecosystems. While the Nigerian Patents and Designs Act (PDA) establishes a compulsory licence regime that affords access to patented drugs, existing public healthcare is severely challenged in providing access tonewmedicines. This article examines the framework for patent protection of pharmaceuticals designed to meet public health challenges, such as those presented by the pandemic. It recommends the implementation of a government use provision under the PDA, with a view to addressing the challenge of access to COVID-19 vaccines.
Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysis
Authors: Sajjadian Mehri , Lam Raymond W. , Milev Roumen , Rotzinger Susan , Frey Benicio N. , Soares Claudio N. , Parikh Sagar V. , Foster Jane A. , Turecki Gustavo , Müller Daniel J. , Strother Stephen C. , Farzan Faranak , Kennedy Sidney H. , Uher Rudolf
Published: October 2021

Background

Multiple treatments are effective for major depressive disorder (MDD), but the outcomes of each treatment vary broadly among individuals. Accurate prediction of outcomes is needed to help select a treatment that is likely to work for a given person. We aim to examine the performance of machine learning methods in delivering replicable predictions of treatment outcomes.

Methods

Of 7732 non-duplicate records identified through literature search, we retained 59 eligible reports and extracted data on sample, treatment, predictors, machine learning method, and treatment outcome prediction. A minimum sample size of 100 and an adequate validation method were used to identify adequate-quality studies. The effects of study features on prediction accuracy were tested with mixed-effects models. Fifty-four of the studies provided accuracy estimates or other estimates that allowed calculation of balanced accuracy of predicting outcomes of treatment.

Results

Eight adequate-quality studies reported a mean accuracy of 0.63 [95% confidence interval (CI) 0.56–0.71], which was significantly lower than a mean accuracy of 0.75 (95% CI 0.72–0.78) in the other 46 studies. Among the adequate-quality studies, accuracies were higher when predicting treatment resistance (0.69) and lower when predicting remission (0.60) or response (0.56). The choice of machine learning method, feature selection, and the ratio of features to individuals were not associated with reported accuracy.

Conclusions

The negative relationship between study quality and prediction accuracy, combined with a lack of independent replication, invites caution when evaluating the potential of machine learning applications for personalizing the treatment of depression.
Headache in ADHD as comorbidity and a side effect of medications: a systematic review and meta-analysis
Authors: Pan Pei-Yin , Jonsson Ulf , Şahpazoğlu Çakmak Sabriye Selin , Häge Alexander , Hohmann Sarah , Nobel Norrman Hjalmar , Buitelaar Jan K. , Banaschewski Tobias , Cortese Samuele , Coghill David , Bölte Sven
Published: October 2021

There is mixed evidence on the association between headache and attention-deficit/hyperactivity disorder (ADHD), as well as headache and ADHD medications. This systematic review and meta-analysis investigated the co-occurrence of headache in children with ADHD, and the effects of ADHD medications on headache. Embase, Medline and PsycInfo were searched for population-based and clinical studies comparing the prevalence of headache in ADHD and controls through January 26, 2021. In addition, we updated the search of a previous systematic review and network meta-analysis of double-blind randomized controlled trials (RCTs) on ADHD medications on June 16, 2020. Trials of amphetamines, atomoxetine, bupropion, clonidine, guanfacine, methylphenidate, and modafinil with a placebo arm and reporting data on headache as an adverse event, were included. Thirteen epidemiological studies and 58 clinical trials were eligible for inclusion. In epidemiological studies, a significant association between headache and ADHD was found [odds ratio (OR) = 2.01, 95% confidence interval (CI) = 1.63–2.46], which remained significant when limited to studies reporting ORs adjusted for possible confounders. The pooled prevalence of headaches in children with ADHD was 26.6%. In RCTs, three ADHD medications were associated with increased headache during treatment periods, compared to placebo: atomoxetine (OR = 1.29, 95% CI = 1.06–1.56), guanfacine (OR = 1.43, 95% CI = 1.12–1.82), and methylphenidate (OR = 1.33, 95% CI = 1.09–1.63). The summarized evidence suggests that headache is common in children with ADHD, both as part of the clinical presentation as such and as a side effect of some standard medications. Monitoring and clinical management strategies of headache in ADHD, in general, and during pharmacological treatment are recommended.
On the Informal Rules of the Chinese Communist Party
Authors: Smith Ewan
Published: October 2021

The Chinese Communist Party (CCP) is a closely constituted party. Recent studies of the CCP describe and evaluate its formal rules, but to understand the Party as an institution we also need to understand its informal rules. The literature on “party norms”, “institutionalization” and the “unwritten constitution” often fails to distinguish rules from other political phenomena. It confuses informal rules with political practices, constitutional conventions, behavioural equilibria and doctrinal discourse. It is prone to overlook important rules, and to see rules where there are none. Hence, it potentially overstates how institutionalized the CCP is, and therefore how resilient it is. The article provides a clearer account of informal rules and suggests a different explanation for the resilience of the CCP.
Factors of Production and the State: Capital, Labour, Energy
Authors: Musso Marta
Published: October 2021

Is state intervention making a comeback in economic policy? Should it make a comeback in economic policy? And, if so, what should this intervention look like? The relations between the state and the economy are a recurring theme throughout modern history, at least since the invention of the nation-state, but in Covid Europe these questions have made the news headlines for the first time in decades. This has been in addition to the strains and challenges posed to the global economy by climate change, which have increasingly put state intervention at the forefront of economic policy. In this context, it is not surprising that state intervention has been the subject of many new books. The ones under review here, all published between 2014 and 2020, add new food for thought to the topic. They raise important questions at a time when ideas around the relations between state, entrepreneurship and resources are beginning to be rediscussed, even in the most conservative economic circles.