bluuebunny/crossref_metadata_2025 huggingface dataset:
Arterial hypoperfusion as a negative predictive marker for primary hepatic malignancies treated with Y-90 glass microsphere transarterial radioembolization
Authors: Kalaghchi Bita , Ince Semra , Barnes Justin , Kiser Kendall , Chin Re-I , Mikell Justin , Badiyan Shahed , Garcia Jose , Zoberi Jacqueline , Doyle Maria Bernadette Majella , Tan Benjamin , Kim Seung , Fraum Tyler , Kim Hyun
Published: August 2024

Background

Radioembolization with yttrium-90 (Y-90) is utilized to treat primary liver malignancies. The efficacy of this intra-arterial therapy in arterially hypoperfused tumors is not known.

Methods

We reviewed data of patients with primary liver tumors treated with Y-90 prescription doses of at least 150 Gy. Baseline patient characteristics, treatment history, imaging-based tumor response assessments, and clinical outcome metrics were recorded. Tumors were classified as arterially hyperperfused versus hypoperfused on post-TARE Y-90 SPECT/CTs or pre-TARE hepatic perfusion SPECT/CTs. Perfusion status was correlated with tumor response assessments and clinical outcomes. Cox proportional hazards models were utilized to compare survival and progression-free survival. Inverse probability weighting was utilized to account for clinical factors and adjusted multivariable proportional hazards analyses to examine the relationship of quantitative perfusion and cancer outcomes.

Results

Of 400 Y-90 treatments, 88 patients received a prescribed dose of at least 150 Gy and had pre- or post-treatment SPECT/CT images. 11 and 77 patients had arterially hypoperfused and hyperperfused lesions, respectively. On dedicated liver MRI or CT at 3 months after Y-90, the complete response rates were 5.6% and 16.5% in the hypoperfused and hyperperfused cohort, respectively (P = 0.60). When controlling for various clinical features, including tumor histology, patients with arterially hypoperfused tumors had significantly shorter progression-free survival (HR 1.87, 95% CI - 1.03 - 3.37, P = 0.039) and greater elsewhere liver (HR 3.36, 95% CI = 1.23 - 9.20, P = 0.019) and distant failure (HR 7.64 (2.71 - 21.54, P < 0.001). In inverse probability weighted analysis, patients with arterially hypoperfused tumors had worse overall survival (P = 0.032). In the quantitative analysis, lower levels of lesion perfusion were also associated with worse clinical outcomes, again controlling for tumor histology.

Conclusion

Compared to arterially hyperperfused tumors, hypoperfused primary liver tumors treated with Y-90 may have worse clinical outcomes.
The forensic aspects of suicide and neurotrophin factors: a research study
Authors: De Simone Stefania , Alfieri Letizia , Bosco Maria Antonella , Cantatore Santina , Carpinteri Michele , Cipolloni Luigi , Neri Margherita
Published: August 2024

Introduction: Suicide represents a significant public health problem whose neurobiology is not yet fully understood. In many cases, suicidal behavior and psychiatric spectrum disorders are linked, in particular, to major depression. An emerging pathophysiological hypothesis underlines the role of neurotrophic factors, proteins involved in neurogenesis, in synaptic plasticity in response to stressors. Our research aims to evaluate the degree of expression of brain neurotrophic factor (BDNF) in brain areas involved in depressive disorder in suicidal subjects. Furthermore, we want to evaluate the expression of glial cell line-derived neurotrophic factor (GDNF) in suicidal subjects.

Methods: We selected twenty confirmed cases of suicide among subjects with a clinical history of depressive pathology and possible psychopharmacological treatment, compared to ten controls of individuals who died of non-suicidal causes. For all selected cases and controls, immunohistochemical investigations were performed using a panel of antibodies against the BDNF and GDNF antigens on samples from the various brain areas.

Results and discussion: The results show that BDNF was under-expressed in the cerebral parenchyma of subjects who died by suicide compared to controls, while there was an overexpression of GDNF in suicide victims, these data could be useful for a clinical application as potential markers for suicidal risk, to assess the severity of depression and development of specific pharmacological therapies for depression.
Environment-dependent chlorophyll–chlorophyll charge transfer states in Lhca4 pigment–protein complex
Authors: Rankelytė Gabrielė , Gelzinis Andrius , Robert Bruno , Valkunas Leonas , Chmeliov Jevgenij
Published: August 2024

Photosystem I (PSI) light-harvesting antenna complexes LHCI contain spectral forms that absorb and emit photons of lower energy than that of its primary electron donor, P700. The most red-shifted fluorescence is associated with the Lhca4 complex. It has been suggested that this red emission is related to the inter-chlorophyll charge transfer (CT) states. In this work we present a systematic quantum-chemical study of the CT states in Lhca4, accounting for the influence of the protein environment by estimating the electrostatic interactions. We show that significant energy shifts result from these interactions and propose that the emission of the Lhca4 complex is related not only to the previously proposed a603+–a608− state, but also to the a602+–a603− state. We also investigate how different protonation patterns of protein amino acids affect the energetics of the CT states.
Climate factors dominate the elevational variation in grassland plant resource utilization strategies
Authors: Ye Jinkun , Ji Yuhui , Wang Jinfeng , Ma Xiaodong , Gao Jie
Published: August 2024

Specific leaf area (SLA) and leaf dry matter content (LDMC) are key leaf functional traits often used to reflect plant resource utilization strategies and predict plant responses to environmental changes. In general, grassland plants at different elevations exhibit varying survival strategies. However, it remains unclear how grassland plants adapt to changes in elevation and their driving factors. To address this issue, we utilized SLA and LDMC data of grassland plants from 223 study sites at different elevations in China, along with climate and soil data, to investigate variations in resource utilization strategies of grassland plants along different elevational gradients and their dominant influencing factors employing linear mixed-effects models, variance partitioning method, piecewise Structural Equation Modeling, etc. The results show that with increasing elevation, SLA significantly decreases, and LDMC significantly increases (P < 0.001). This indicates different resource utilization strategies of grassland plants across elevation gradients, transitioning from a “faster investment-return” at lower elevations to a “slower investment-return” at higher elevations. Across different elevation gradients, climatic factors are the main factors affecting grassland plant resource utilization strategies, with soil nutrient factors also playing a non-negligible coordinating role. Among these, mean annual precipitation and hottest month mean temperature are key climatic factors influencing SLA of grassland plants, explaining 28.94% and 23.88% of SLA variation, respectively. The key factors affecting LDMC of grassland plants are mainly hottest month mean temperature and soil phosphorus content, with relative importance of 24.24% and 20.27%, respectively. Additionally, the direct effect of elevation on grassland plant resource utilization strategies is greater than its indirect effect (through influencing climatic and soil nutrient factors). These findings emphasize the substantive impact of elevation on grassland plant resource utilization strategies and have important ecological value for grassland management and protection under global change.
Genome-wide identification and analysis of the EIN3/EIL gene family in broomcorn millet (Panicum miliaceum L.)
Authors: Yang Mengke , Song Xiaohan , Li Jiazhen , Wang Shiji , Zhang Meichun , Deng Xin , Wang Hongyan
Published: August 2024

The EIN3/EIL gene family holds a pivotal role as it encodes a crucial transcription factor in plants. During the process of polyploidization in broomcorn millet (Panicum miliaceum L.), there is an intriguing above-average amplification observed within the EIN3/EIL gene family. Nonetheless, our current knowledge of this gene family in broomcorn millet remains limited. Hence, in this study, we conducted a comprehensive analysis of the EIN3/EIL gene family in broomcorn millet, aiming to provide a deeper understanding of the potential evolutionary changes. Additionally, we analyzed the EIN3/EIL gene family of Panicum hallii L., a close relative of broomcorn millet, to enhance our characterization efforts. Within this study, we identified a total of 15 EIN3/EIL genes specific to broomcorn millet. Through covariance analysis, it was revealed that all PmEIL genes, except PmEIL1 and PmEIL15, had duplicate copies generated through genome-wide duplication events. Importantly, the Ka/Ks values of all duplicated genes were found to be less than 1, indicating strong purifying selection. Phylogenetic analysis showed that these genes could be categorized into four distinct evolutionary branches, showcasing similar characteristics among members within the same branch. However, there appeared to be an uneven distribution of cis-acting elements amid the EIN3/EIL genes. Further examination of transcriptomic data shed light on the diverse spatiotemporal and stress-related expression patterns exhibited by the EIN3/EIL genes in broomcorn millet. Notably, under cold stress, the expression of PmEIL3/4/8/14 was significantly up-regulated, while under drought stress, PmEIL4/5/6 displayed significant up-regulation. Intriguingly, the expression pattern of PmEIL15 showed an opposite pattern in resistant and sensitive cultivars. The findings of this study augment our understanding of the EIN3/EIL gene family in broomcorn millet and offer a valuable reference for future investigations into polyploid studies. Moreover, this study establishes a theoretical foundation for further exploration of the ethylene signaling pathway in broomcorn millet.
Joint metabolomic and transcriptomic analysis identify unique phenolic acid and flavonoid compounds associated with resistance to fusarium wilt in cucumber (Cucumis sativus L.)
Authors: Yang Kankan , Zhou Geng , Chen Chen , Liu Xiaohong , Wei Lin , Zhu Feiying , Liang Zhihuai , Chen Huiming
Published: August 2024

Introduction

Fusarium wilt (FW) caused by Fusarium oxysporum f. sp. cucumerinum (Foc) is a destructive soil-borne disease in cucumber (Cucumis sativus. L). However, there remains limited knowledge on the molecular mechanisms underlying FW resistance-mediated defense responses in cucumber.

Methods

In this study, metabolome and transcriptome profiling were carried out for two FW resistant (NR) and susceptible (NS), near isogenic lines (NILs) before and after Foc inoculation. NILs have shown consistent and stable resistance in multiple resistance tests conducted in the greenhouse and in the laboratory. A widely targeted metabolomic analysis identified differentially accumulated metabolites (DAMs) with significantly greater NR accumulation in response to Foc infection, including many phenolic acid and flavonoid compounds from the flavonoid biosynthesis pathway.

Results

Transcriptome analysis identified differentially expressed genes (DEGs) between the NILs upon Foc inoculation including genes for secondary metabolite biosynthesis and transcription factor genes regulating the flavonoid biosynthesis pathway. Joint analysis of the metabolomic and transcriptomic data identified DAMs and DEGs closely associated with the biosynthesis of phenolic acid and flavonoid DAMs. The association of these compounds with NR-conferred FW resistance was exemplified by in vivo assays. These assays found two phenolic acid compounds, bis (2-ethylhexyl) phthalate and diisooctyl phthalate, as well as the flavonoid compound gallocatechin 3-O-gallate to have significant inhibitory effects on Foc growth. The antifungal effects of these three compounds represent a novel finding.

Discussion

Therefore, phenolic acids and flavonoids play important roles in NR mediated FW resistance breeding in cucumber.
When legitimacy becomes the object of politics: the politicization of political support in European democracies
Authors: van Ham Carolien , van Elsas Erika
Published: August 2024

Democratic legitimacy is essential for democratic stability, as democracies rely on citizen support to survive. However, perceived legitimacy gaps can also be an important catalyst for change and potential democratic renewal, begging the question when challenges to legitimacy become problematic for democratic survival. Easton distinguished between citizen support for political authorities and the political system, and argued that if support for political authorities declined, such declining support could either be resolved by the current political authorities changing course, or by citizens electing new political authorities at the next elections. However, if dissatisfaction with political authorities would not be resolved, lacking support had the potential to eventually “spill-over” and undermine support for the political system as a whole. In most empirical research on legitimacy, the assumption is that such “spill-over” is visible only if declining levels of political trust and satisfaction with democracy start to undermine support for democracy as a political system. In this paper, we argue that “spill-over” can also manifest in a different way: through the politicization of political support. When politics is no longer (only) about substantive policy decisions, but rather (increasingly) about the system itself, agreement on the rules of the game, or even on democracy as “the only game in town”, is no longer self-evident. In this paper we further develop our theoretical argument about the connection between legitimacy and politicisation, and argue that European democracies appear to experience growing politicization of political support, in terms of the association of political support with citizens’ substantive issue positions and voting behaviour. The paper demonstrates empirical evidence of such politicization of political support in 17 European democracies with European Social Survey data from 2002–2022. The paper concludes by reflecting on the implications of the politicization of political support for democratic stability and renewal.
Classroom intervention to improve behavioral intention toward regular physical activity among adolescents
Authors: Jha Sweety Suman , Dobe Madhumita , Taklikar Chandrashekhar , Lahiri Arista
Published: August 2024

Background

During adolescence, a critical phase in human life, the groundwork for a healthful future is established. Physical inactivity poses a significant risk factor for non-communicable diseases (NCDs) and related mortality worldwide. To assess adolescents’ behavioral intentions regarding regular physical activity, the Theory of Planned Behavior (TPB) examines ‘Attitude,’ ‘Subjective norm,’ and ‘Perceived behavioral control.’ Utilizing TPB, this study focuses on evaluating the impact of a school-based health promotion intervention on behavioral intentions toward physical activity among urban adolescents in West Bengal, India.

Methods

A school-based nonrandomized controlled interventional study with parallel group design was conducted among adolescents aged between 12 and 16 years. Behavioral intention towards performing regular physical activity was determined with the measurements of the constructs from the TPB. Cluster analysis was conducted using measurements from both the intervention and control groups. Participants with higher mean scores in the constructs were classified as intenders, while the rest were considered non-intenders. The intervention’s impact was evaluated by calculating the Relative Risk (RR) through a generalized linear model with robust standard error estimates, to ascertain the probability of belonging to the higher intention cluster.

Result

Following the intervention, construct-wise scores improved significantly, particularly the perceived behavioral control mean score in the intervention group. The Relative Risk (RR) of becoming an intender for regular physical activity in the intervention group was 1.24 (95% CI: 1.04–1.48) when compared to the control group.

Conclusion

Health Promoting Schools has been recognized as a strategic and cost-effective vehicle to promote positive development and healthful living, and the current evidence suggests they can effectively reduce the emergence of significant NCD risk factor like physical inactivity. Schools must establish strong partnerships with diverse stakeholders to address barriers beyond the school environment and enhance their control over critical issues.
Taking the Big Leap | understanding, accessing and improving behavioural science interventions
Authors: Gantayat Nishan , Ashok Anushka , Manchi Pallavi , Pierce-Messick Rosemary , Porwal Rahul , Gangaramany Alok
Published: August 2024

Applied behaviour science’s focus on individual-level behaviours has led to overestimation of and reliance on biases and heuristics in understanding behaviour and behaviour change. Behaviour-change interventions experience difficulties such as effect sizes, validity, scale-up, and long-term sustainability. One such area where we need to re-examine underlying assumptions for behavioural interventions in Human Immunodeficiency Virus (HIV) and Tuberculosis (TB) prevention, which seek population-level benefits and sustained, measurable impact. This requires taking a “Big Leap.” In our view, taking the big leap refers to using a behavioural science-informed approach to overcome the chasms due to misaligned assumptions, tunnel focus, and overweighting immediate benefits, which can limit the effectiveness and efficiency of public health programmes and interventions. Crossing these chasms means that decision-makers should develop a system of interventions, promote end-user agency, build choice infrastructure, embrace heterogeneity, recognise social and temporal dynamics, and champion sustainability. Taking the big leap toward a more holistic approach means that policymakers, programme planners, and funding bodies should “Ask” pertinent questions to evaluate interventions to ensure they are well informed and designed.
Freedom for some, but not for Mum: the reproductive injustice associated with pandemic ‘Freedom Day’ for perinatal women in the United Kingdom
Authors: Silverio Sergio A. , Harris Elizabeth J. , Jackson Leanne , Fallon Victoria ,   The PRaM Study Group, Easter Abigail , Dadelszen Peter von , Jurković Davor , Magee Laura A.
Published: August 2024

Introduction

Healthcare services for pregnant and postpartum (‘perinatal’) women were reconfigured significantly at the advent and for the duration of the SARS-CoV-2 pandemic, and despite the United Kingdom announcing ‘Freedom Day’ on 19 July 2021 (whereafter all legal lockdown-related restrictions were lifted), restrictions to maternity (antenatal, intrapartum, and postnatal) services remained. This study presents data from eight perinatal women about their experiences of psychosocial wellbeing and maternity care in the post-‘Freedom Day’ epoch.

Methods

Semi-structured interviews were conducted virtually, with data recorded, transcribed, and analysed by hand. Grounded theory analysis was employed with the final theory assessing the reproductive injustice of the pandemic ‘Freedom Day’.

Results

Analysing iteratively and inductively led to four emergent themes: ‘A Failing System, Failing Women’; ‘Harm Caused by a State of Difference’; ‘The Privileges (Not Rights) of Reproductive Autonomy, Agency, and Advocacy’; and ‘Worried Women and Marginalised Mothers’. Together, these themes form the theory of ‘Freedom for some, but not for Mum’.

Discussion

Women experienced a lack of high-quality reliable information about the pandemic, vaccination against the virus, and the changes to, and decision-making surrounding, their perinatal care. Women recognised healthcare professionals and maternity services were stretched and that maternity services were failing but often reported hostility from staff and abandonment at times when they were unsure about how to navigate their care. The most singular injustice was the disparity between women having to accept continuing restrictions to their freedom whilst receiving maternity care and the (reckless) freedom being enacted by the general public.
Organisational learning from the public health response to the COVID-19 pandemic: findings from a qualitative interview study
Authors: Southworth Felicity , Chalmers Daljinder , Reedy Gabriel , Amlôt Richard , Skryabina Elena
Published: August 2024

System learning from major incidents is essential for enhancing preparedness for responding to future adverse events. Sharing learning not only stimulates further improvements, preventing the repetition of mistakes, but may also promote collaboration and the adoption of evidenced-based best practises. As part of a qualitative interview study designed to explore lessons learned, this paper describes the experiences and perspectives of 30 staff from the public health agency responsible for the national COVID-19 response in the United Kingdom. The focus of the interviews was on enabling factors and practises that worked well, as well as those that were more challenging, and which, if addressed, could improve responses to future infectious disease incidents. The interviews elicited valuable insights across various thematic areas that could inform emergency preparedness activities for future infectious disease outbreaks. The outcomes of this study, while integral for the UK agency responsible for public health, extend beyond organisational boundaries and contribute to a broader spectrum of activities aimed at facilitating global learning from the COVID-19 response.
Health and income inequality: a comparative analysis of USA and Italy
Authors: La Porta Caterina A. M. , Zapperi Stefano
Published: August 2024

Introduction

Socio-economic background is often an important determinant for health with low income households having higher exposure to risk factors and diminished access to healthcare and prevention, in a way that is specific to each country.

Methods

Here, we perform a comparative analysis of the relations between health and income inequality in two developed countries, USA and Italy, using longitudinal and cross-sectional data from surveys.

Results and discussion

We show that the income class determines the incidence of chronic pathologies, associated risk-factors and psychiatric conditions, but find striking differences in health inequality between the two countries. We then focus our attention on a fraction of very disadvantaged households in the USA whose income in persistently at the bottom of the distribution over a span of 20 years and which is shown to display particularly dire health conditions. Low income people in the USA also display comorbidity patterns that are not found in higher income people, while in Italy income appears to be less relevant for comorbidity. Taken together our findings illustrate how differences in lifestyle and the healthcare systems affect health inequality.
Impacts of smoking on alcoholic liver disease: a nationwide cohort study
Authors: Yoo Jeong-Ju , Lee Dong Hyeon , Kim Sang Gyune , Jang Jae Young , Kim Young Seok , Kim Log Young
Published: August 2024

Objectives

Smoking is a preventable risk factor for morbidity and mortality in patients with liver disease. This study aims to explore the additional risks of smoking in the development of alcoholic liver disease (ALD), cirrhosis, and hepatocellular carcinoma (HCC) in high-risk drinkers.

Methods

Data from the National Health Insurance Service, including claims and health check-up information spanning 2011 to 2017, were used. The overall alcohol consumption was calculated, and ALD was defined based on ICD-10 codes. High-risk drinking was defined as 7 or more drinks for men and 5 or more for women, twice weekly. Half of the high-risk drinkers were smokers, decreasing in men but stable at 20% for women.

Results

ALD prevalence was 0.97% in high-risk drinkers and 1.09% in high-risk drinkers who smoked, higher than 0.16% in social drinkers (p < 0.001). ALD incidence over 3-years was highest in high-risk drinkers who smoked (2.35%), followed by high-risk drinkers (2.03%) and social drinkers (0.35%) (p < 0.001). Cirrhosis and HCC followed similar patterns, with prevalence and incidence was highest in drinkers who smoked. 3-year mortality was 0.65% in high-risk drinkers who smoked, compared to 0.50% in high-risk drinkers and 0.24% in social drinkers (p < 0.001). Smoking increased the incidence of ALD, cirrhosis, and HCC by 1.32, 1.53, and 1.53 times, respectively (all p < 0.001). Gender-specific analysis revealed higher risk ratios (RR) for women in ALD, alcoholic cirrhosis, and HCC, particularly among high-risk drinkers who smoked. Women showed significantly increased RR in ALD (6.08 to 12.38) compared to men (4.18 to 4.40), and similar trends were observed for cirrhosis and HCC.

Conclusion

Smoking significantly heightens the risk of ALD, cirrhosis, and HCC, especially in women, among high-risk drinkers. This emphasizes the importance of smoking cessation, particularly for female patients with ALD.
Evidence-based early rehabilitation for children with cerebral palsy: co-development of a multifaceted knowledge translation strategy for rehabilitation professionals
Authors: Hanson Jessica H. , Majnemer Annette , Pietrangelo Filomena , Dickson Leigh , Shikako Keiko , Dahan-Oliel Noémi , Steven Emma , Iliopoulos Georgia , Ogourtsova Tatiana
Published: August 2024

Background

Cerebral palsy (CP) is the most common childhood physical disability. Early and evidence-based rehabilitation is essential for improving functional outcomes in children with CP. However, rehabilitation professionals face barriers to adopting evidence-based practices (EBP)s. The objective of this project is to develop a knowledge translation (KT) strategy to support CP-EBP among pediatric rehabilitation professionals.

Methods

We follow an integrated KT approach by collaborating with clinician- and patient-partners. Partners engaged in co-design through team meetings and content review via email. The KT strategy comprises two components: (1) An electronic (e)-KT toolkit was created from summarized evidence extracted from randomized clinical trials on early rehabilitation for children with CP, and (2) a multifaceted online KT training program developed with guidance from a scoping review exploring effective KT strategies.

Results

The e-KT toolkit summarizes twenty-two early interventions for children with or at risk for CP aged 0–5 years. Each module features an introduction, resources, parent/family section, and clinician information, including outcomes, intervention effectiveness, and evidence level. The KT training program includes three 10–15 min video-based training modules, text summaries, quizzes, and case studies. Site champions, identified as qualified rehabilitation professionals, were onboarded to support the site implementation of the training program. A champion-training booklet and 1-hour session were designed to equip them with the necessary knowledge/resources.

Conclusion

The tailored, multifaceted, and co-designed KT strategy aims to be implemented in pediatric rehabilitation sites to support professional's uptake of CP-EBPs. Lessons learned from its development, including the co-development process and multifaceted nature, hold potential for broader applications in rehabilitation.
Effect of lidocaine pumped through hepatic artery to relieve pain of hepatic artery infusion chemotherapy
Authors: Zhang Renjie , Liao Yiling , Yang Xiaoya , Tian Hengyu , Wu Shenfeng , Zeng Qingteng , He Qinghua , Zhang Ruikun , Wei Chunshan , Liu Jialin
Published: August 2024

Background

This study aims to explore the analgesic effect of lidocaine administered through the hepatic artery during hepatic artery infusion chemotherapy (HAIC) for hepatocellular carcinoma (HCC).

Methods

A total of 45 HCC patients were randomly divided into a study group and a control group. Both groups received oxaliplatin (OXA) based FOLFOX protocol via electronic infusion pump. The study group was continuously infused with 100 mg of lidocaine during HAIC, while 5% glucose solution was infused in the same way as described above. Changes in vital signs, visual analogue score (VAS) and general comfort score (GCQ scale) were recorded before surgery (Time point 0), at the end of infusion (Time point 01), 1 h after HAIC (Time point 02), 3 h after HAIC (Time point 03) and 6 h after HAIC (Time point 04).

Results

At each point of time from Time point 0 through Time point 04, the differences in MAP, RR and SPO2 between the two groups were not statistically significant (P > 0.05). At each point of time from Time point 01 through Time point 04, the mean VAS scores in the study group were smaller and GCQ scores were higher than those in the control group, and the differences were both statistically significant (P < 0.05).

Conclusions

Lidocaine infusion through the hepatic artery during HAIC effectively reduces intraoperative and postoperative pain and improves patient satisfaction with pain management, making it a valuable technique for clinical practice.
Posttraumatic hydrocephalus as a complication of decompressive craniectomy–same old story, new perspectives
Authors: Șerban Nicoleta-Larisa , Florian Ioan Stefan , Florian Ioan Alexandru , Atena Zaha Andreea , Ionescu Daniela
Published: August 2024

Objective

Decompressive craniectomy (DC) serves as a vital life-saving intervention, demonstrating efficacy in reducing intracranial pressure (ICP). However, its efficacy hinges on meticulous surgical execution, perioperative management, and vigilance toward potential complications. The incidence of complications associated with DC plays a pivotal role in determining its superiority over medical management for patients experiencing intracranial hypertension following traumatic brain injury (TBI).

Methods

Severe cases often require more intensive therapy, prolonged mechanical ventilation, and vasopressor treatment. Identifying the optimal moment for early extubation and minimizing vasopressor use is crucial to reducing the risk of complications, including PTH. Our study aims to highlight the potential risks associated with prolonged mechanical ventilation and long-term vasopressor administration. The collected data were demographics, the craniectomy size, the distance from the midline of the craniectomy, the presence or absence of hydrocephalus, duration of mechanical ventilation and vasopressor treatment, and outcome at 30 days.

Results

Seventy-two patients with a mean age of 44.2 (range 5–83) were included in the study, with a median craniectomy size of 119.3 cm2. In our series, craniectomy areas ranged between 30 and 207.5 cm2 and had a similar decrease in midline shift in all cases. We did not observe any associations between the surface of craniectomy and the complication rate (p = 0.6302). There was no association between craniectomy size and mortality rate or length of hospital stay. The most common complication of decompressive craniectomy in our study group was posttraumatic hydrocephalus, with an incidence of 13.8%. Our results showed that craniectomy size did not independently affect PTH development (p = 0.5125). Still, there was a strong correlation between prolonged time of vasopressor treatment (p = 0.01843), period of mechanical ventilation (p = 0.04928), and the development of PTH.

Conclusions

This study suggests that there is no clear correlation between craniectomy size, midline shift reduction, and survival rate. An extended period of vasopressor treatment or mechanical ventilation is linked with the development of posttraumatic hydrocephalus. Further studies on larger series or randomized controlled studies are needed to better define this correlation.
Veterinary support staff knowledge and perceptions of antimicrobial drug use, resistance, and stewardship in the United States
Authors: Gunn-Sandell Lauren , Taylor Daniel D. , Scallan Walter Elaine
Published: August 2024

Antimicrobial drug use (AMU) in veterinary medicine may contribute to antimicrobial resistant (AMR) infections in both animals and people. Efforts to improve AMU in companion animal medicine are underway and should include all members of the veterinary team, including veterinary support staff. Our objective was to describe knowledge and attitudes regarding AMU, AMR, and antimicrobial stewardship (AMS) in companion animal medicine among veterinary support staff professionals in the United States using an anonymous, online questionnaire. Additionally, we sought to explore veterinary support staff perceptions of their role in the antimicrobial drug (AMD) prescribing process. Veterinary technicians, nurses, assistants, client care representatives, and hospital managers (n = 337) considered AMR a global concern (83.4%), and 40% reported receiving AMR education from their employer. Few (18.3%) were aware of AMS, with only 6.4% indicating that their clinic had an AMS program. Frequent involvement in the AMD prescribing process was reported (43.4%), but only 19.7% perceived involvement with AMS interventions. Approximately one-third of participants (34.9%) said that advice regarding the need for AMDs was routinely provided by staff to pet owners prior to veterinary consultation. Participants estimated that 82.6% of all AMD prescriptions were filled at the clinic as opposed to an outside pharmacy. Given their direct involvement in the AMD prescribing process and frequent interactions with pet owners, AMS should be emphasized to all veterinary staff. Involving support staff in AMS interventions is necessary to improve AMU in companion animal medicine.
Single nucleotide polymorphism profiles of canine T-cell and null-cell lymphomas
Authors: Sirivisoot Sirintra , Kasantikul Tanit , Techangamsuwan Somporn , Rungsipipat Anudep
Published: August 2024

Background

The histopathological classification of T-cell lymphoma (TCL) in humans has distinctive mutational genotyping that suggests different lymphomagenesis. A similar concept is assumed to be observed in dogs with different TCL phenotypes.

Objective

This study aimed to identify the previously reported single-nucleotide polymorphisms (SNPs) in both human beings and dogs in canine TCLs and null-cell lymphomas (NCLs) and to design compatible oligonucleotides from each variant based on the multiplex polymerase chain reaction.

Methods

Genomic DNA was extracted from 68 tumor specimens (62 TCLs and 6 NCLs) and 5 buffy coat samples from dogs with TCL. Four TCL subtypes and NCL were analyzed in 44 SNPs from 21 genes using the MassARRAY.

Results

The greatest incidences of SNPs observed in all TCL subtypes and NCL ware SATB1 c.1259A > C, KIT c.1275A > G, SEL1L c.2040 + 200C > G, and TP53 c.1024C > T, respectively. Some SNP locations were statistically significant associated with NCL, including MYC p.S75F (p = 0.0003), TP53 p.I149N (p = 0.030), PDCD1 p.F37LX (p = 0.012), and POT1 p.R583* (p = 0.012).

Conclusion

Each TCL histological subtype and NCL are likely to contain distinctive mutational genetic profiles, which might play a role in lymphoma gene-risk factors and might be useful for selecting therapeutic target drugs for each canine patient.
Effects of yeast culture supplementation on milk yield, rumen fermentation, metabolism, and bacterial composition in dairy goats
Authors: Li Zunyan , Hu Yufeng , Li Haibin , Lin Yingting , Cheng Ming , Zhu Fenghua , Guo Yixuan
Published: August 2024

The effects of yeast culture (YC) on dairy goat milk yield and potential effects of rumen microbial population changes on rumen fermentation are poorly understood. This study aimed to evaluate the effects of YC on milk yield and rumen fermentation in dairy goats and explore the potential microbial mechanisms. Forty Laoshan dairy goats with a weight of 51.23 ± 2.23 kg and daily milk yield of 1.41 ± 0.26 kg were randomly divided into 4 groups: control (no YC), YC1 (10 g/day per goat), YC2 (25 g/day per goat), and YC3 (40 g/day per goat). The pre-feeding period was 15 days, and the official period was 60 days. Laoshan dairy goats were milked twice daily, and the individual milk yield was recorded. On the last day of the official period, rumen fluid was collected to measure rumen fermentation, perform quantitative polymerase chain reaction (PCR), and detect metabolites. Compared to the control group, the YC group had greater milk yield; higher acetic acid, butyric acid, and total volatile fatty acid contents; and lower ammonia-N (NH3-N) content in the rumen (p < 0.05). YC increased the abundance of Clostridia_UCG-014 and Paraprevotella (p < 0.05). Differential metabolites L-leucine and aspartic acid were screened. This study revealed the microbial mechanisms linking the relative abundance of Paraprevotella and Clostridia_UCG-014 to L-leucine and aspartic acid utilization. These results describe the potential benefits of supplementing 10 g/day per goat YC in the diets of Laoshan dairy goats for improving the rumen environment and milk yield.
Competing in Innovation-Intensive Environments: The Role of Soft Power, Learning, and CEO Heuristics
Authors: Vlas Cristina O. , de Góes Bruno Barreto , Vlas Radu E. , See Eugene
Published: August 2024

We start by exploring how the interplay of soft power and learning levers helps firms address competitive uncertainty in innovation-intensive environments (IIEs). We then theorize that firms’ motivation to pursue a specific combination of soft power and learning tactics in IIEs is shaped by CEO regulatory focus. The analysis of a panel of IIE firms supports our theorizing and reveals that accounting for CEO regulatory focus is elemental to the understanding of firms’ performance heterogeneity in such environments. We conclude that a perspective focused on a combination of soft power and learning tactics is better fitted to explain firms’ performance in environments plagued by extreme uncertainty compared to traditional theoretical lenses. Our main contribution is to the study of performance in innovation-intensive environments.
Rep-ViG-Apple: A CNN-GCN Hybrid Model for Apple Detection in Complex Orchard Environments
Authors: Han Bo , Lu Ziao , Zhang Jingjing , Almodfer Rolla , Wang Zhengting , Sun Wei , Dong Luan
Published: August 2024

Accurately recognizing apples in complex environments is essential for automating apple picking operations, particularly under challenging natural conditions such as cloudy, snowy, foggy, and rainy weather, as well as low-light situations. To overcome the challenges of reduced apple target detection accuracy due to branch occlusion, apple overlap, and variations between near and far field scales, we propose the Rep-ViG-Apple algorithm, an advanced version of the YOLO model. The Rep-ViG-Apple algorithm features a sophisticated architecture designed to enhance apple detection performance in difficult conditions. To improve feature extraction for occluded and overlapped apple targets, we developed the inverted residual multi-scale structural reparameterized feature extraction block (RepIRD Block) within the backbone network. We also integrated the sparse graph attention mechanism (SVGA) to capture global feature information, concentrate attention on apples, and reduce interference from complex environmental features. Moreover, we designed a feature extraction network with a CNN-GCN architecture, termed Rep-Vision-GCN. This network combines the local multi-scale feature extraction capabilities of a convolutional neural network (CNN) with the global modeling strengths of a graph convolutional network (GCN), enhancing the extraction of apple features. The RepConvsBlock module, embedded in the neck network, forms the Rep-FPN-PAN feature fusion network, which improves the recognition of apple targets across various scales, both near and far. Furthermore, we implemented a channel pruning algorithm based on LAMP scores to balance computational efficiency with model accuracy. Experimental results demonstrate that the Rep-ViG-Apple algorithm achieves precision, recall, and average accuracy of 92.5%, 85.0%, and 93.3%, respectively, marking improvements of 1.5%, 1.5%, and 2.0% over YOLOv8n. Additionally, the Rep-ViG-Apple model benefits from a 22% reduction in size, enhancing its efficiency and suitability for deployment in resource-constrained environments while maintaining high accuracy.
The Use of Machine Learning to Predict Prevalence of Subclinical Mastitis in Dairy Sheep Farms
Authors: Kiouvrekis Yiannis , Vasileiou Natalia G. C. , Katsarou Eleni I. , Lianou Daphne T. , Michael Charalambia K. , Zikas Sotiris , Katsafadou Angeliki I. , Bourganou Maria V. , Liagka Dimitra V. , Chatzopoulos Dimitris C. , Fthenakis George C.
Published: August 2024

The objective of the study was to develop a computational model with which predictions regarding the level of prevalence of mastitis in dairy sheep farms could be performed. Data for the construction of the model were obtained from a large Greece-wide field study with 111 farms. Unsupervised learning methodology was applied for clustering data into two clusters based on 18 variables (17 independent variables related to health management practices applied in farms, climatological data at the locations of the farms, and the level of prevalence of subclinical mastitis as the target value). The K-means tool showed the highest significance for the classification of farms into two clusters for the construction of the computational model: median (interquartile range) prevalence of subclinical mastitis among farms was 20.0% (interquartile range: 15.8%) and 30.0% (16.0%) (p = 0.002). Supervised learning tools were subsequently used to predict the level of prevalence of the infection: decision trees, k-NN, neural networks, and Support vector machines. For each of these, combinations of hyperparameters were employed; 83 models were produced, and 4150 assessments were made in total. A computational model obtained by means of Support vector machines (kernel: ‘linear’, regularization parameter C = 3) was selected. Thereafter, the model was assessed through the results of the prevalence of subclinical mastitis in 373 records from sheep flocks unrelated to the ones employed for the selection of the model; the model was used for evaluation of the correct classification of the data in each of 373 sets, each of which included a test (prediction) subset with one record that referred to the farm under assessment. The median prevalence of the infection in farms classified by the model in each of the two categories was 10.4% (5.5%) and 36.3% (9.7%) (p < 0.0001). The overall accuracy of the model for the results presented by the K-means tool was 94.1%; for the estimation of the level of prevalence (<25.0%/≥25.0%) in the farms, it was 96.3%. The findings of this study indicate that machine learning algorithms can be usefully employed in predicting the level of subclinical mastitis in dairy sheep farms. This can facilitate setting up appropriate health management measures for interventions in the farms.
Effect of Different Slow-Release Urea on the Production Performance, Rumen Fermentation, and Blood Parameter of Angus Heifer
Authors: Fan Caiyun , Li Hongguang , Li Shuaihong , Zhong Gang , Jia Wenbin , Zhuo Zhao , Xue Yanfeng , Koontz Anne F. , Cheng Jianbo
Published: August 2024

This study investigated the effect of replacing part of the dietary soybean meal with either polymer-coated urea or gelatinized starch urea on the production performance, blood indexes, and ruminal fermentation of Angus heifers. A total of 210 purebred Angus cattle (BW = 314.26 kg) were divided into three groups: the no urea group (CON), the polymer-coated urea group (PCU), and the gelatinized starch urea group (GSU); 20 g/kg polymer-coated urea or 25 g/kg gelatinized starch urea was used to replace part of soybean meal in the concentrate feed, according to the principle of isometabolic energy and isonitrogenous. The result showed that the PCU group had higher ADG and ADF apparent digestibility, while it had a lower feed–weight ratio. On the 86th day, the serum albumin (ALB) content in the PCU group was significantly higher than that in the CON group. In rumen, compared with the CON group, the contents of acetic acid and total volatile fatty acid were significantly higher in the PCU group, whereas butyric acid and propionic acid were significantly higher in the PCU group and GSU group. Ruminal bacterial diversity analysis found that the abundance of Firmicutes was higher in the PCU group at the phylum level, and an inverse result was observed in Bacteroidetes. The abundance of Paraprevotella was higher in the PCU group, whereas higher abundance of Prevotella was found in the GSU group at the genus level. These results indicate that slow-release urea can replace part of soybean meal in the diet, and the amount of substitution in this trial had no diverse effect on the performance of Angus heifers.
High-Definition Dynamic Voltage Restorer Systems Using Equivalent Time Sampling Techniques and Circular Structural Memory Filters
Authors: Ko Jae-ha
Published: August 2024

Due to advances in power electronics technology and the evolution of automation devices, the number of electrical devices that are sensitive to power quality is rapidly increasing, and for this reason, users are increasing their demand for high quality. To meet power quality demands, many power conversion devices are used, including dynamic voltage restorers (DVRs). DVRs are recognized as devices that can effectively manage problems such as voltage segments, swells, and harmonics. DVR control requires many samples for harmonic compensation, which has the disadvantage of being complicated to implement due to fast digital signal processing computation and the application of the cyclic discrete Fourier transform. In this paper, a high-precision DVR system configuration is proposed that compensates for harmonics using a periodically equivalent time-interval sampling technique and a novel circular-structured memory filter. The proposed circular-structured multi-pointer memory filter is an effective filter algorithm for high-precision input voltage measurement because it can remove noise and compensate for the delay of the phase angle of the filter in voltage measurement. A simulation and DVR prototype system were built, and the feasibility and effectiveness of the phase angle multi-filter voltage detection method and the compensation method were verified by experiments.
An Audio Watermarking Algorithm Based on Adversarial Perturbation
Authors: Wu Shiqiang , Liu Jie , Huang Ying , Guan Hu , Zhang Shuwu
Published: August 2024

Recently, deep learning has been gradually applied to digital watermarking, which avoids the trouble of hand-designing robust transforms in traditional algorithms. However, most of the existing deep watermarking algorithms use encoder–decoder architecture, which is redundant. This paper proposes a novel audio watermarking algorithm based on adversarial perturbation, AAW. It adds tiny, imperceptible perturbations to the host audio and extracts the watermark with a pre-trained decoder. Moreover, the AAW algorithm also uses an attack simulation layer and a whitening layer to improve performance. The AAW algorithm contains only a differentiable decoder, so it reduces the redundancy. The experimental results also demonstrate that the proposed algorithm is effective and performs better than existing audio watermarking algorithms.