bluuebunny/crossref_metadata_2025 huggingface dataset:
Treatment of recurrent tracheal adenoid cystic carcinoma with a covered airway stent loaded with Iodine-125 seeds: a 5-year follow-up case report
Authors: Yang Zhen , Wang Yafei , Li Zhenhua , Geng Shuang , Hu Yi , Hu Hongling
Published: November 2024

Background

The treatment of recurrent tracheal adenoid cystic carcinoma (TACC), a rare pulmonary malignant tumor, typically involves bronchoscopic interventional therapy for patients ineligible for surgery or external radiotherapy. This report describes an innovative treatment approach for TACC, initially managed with interventional bronchoscopy and subsequently with a Y-shaped airway stent loaded with 125I seeds, following recurrence after 2 years.

Case presentation

A 50-year-old man presented with intermittent coughing for 2 months and was admitted to the hospital after the discovery of TACC a month earlier. Preoperative bronchial artery embolization was performed to reduce the risk of bleeding, followed by bronchoscopic tumor resection in January 2017 using an electric loop at the base, complemented by argon plasma coagulation (APC) and cryotherapy. Although short-term outcomes were favorable, the long-term prognosis remained suboptimal. Due to tumor recurrence, airway tumor resection and implantation of the 125I seed stent were performed under bronchoscope guidance in early 2019. The stent was removed 5 months later. The patient tolerated the procedure well and exhibited no signs of relapse or progression during the 5-year postoperative follow-up period. This case illustrates the successful application of a stent loaded with 125I seeds for treating unresectable TACC.

Conclusions

Treatment of TACC with a covered airway stent loaded with 125I seeds may be a safe, effective, and scalable method.
Robotic versus laparoscopic pancreaticoduodenectomy for pancreatic and periampullary tumors: a meta-analysis
Authors: Tang Gang , Chen Fang , Chen Rui , Zhou Rongxing , Zhang Jingyi
Published: November 2024

Objective

The value of robotic pancreaticoduodenectomy (RPD) compared with laparoscopic pancreaticoduodenectomy (LPD) for pancreatic and periampullary tumors is controversial. This study aims to assess the available literature and compare the short outcomes of RPD and LPD.

Methods

The PubMed, Cochrane Library, Embase, and Web of Science databases were searched to identify available research published up to 24 July, 2024. Risk ratios (RRs) and mean differences (MDs) with 95% confidence intervals (CIs) were calculated.

Results

Seventeen studies with a total of 9417 patients (RPD group: 3334 patients; LPD group: 6083 patients) were included in this meta-analysis. The RPD group had lower overall morbidity (RR, 0.79), conversion (RR, 0.29) and blood transfusion rates (RR, 0.61), shorter length of stay (MD, -0.72 days), and higher number of harvested lymph nodes (MD, 0.62) than the LPD group. There were no significant differences in 90-day mortality (RR, 0.89), major complications (RR, 0.87), operative time (MD, -3.74 mins), blood loss (MD, -24.14 mL), reoperation (RR, 0.94), bile leak (RR, 0.62), postoperative pancreatic hemorrhage (RR, 0.96), postoperative pancreatic fistula (RR, 0.74), delayed gastric emptying (RR, 1.24), and R0 resection (RR, 1.00) between the groups.

Conclusions

Compared with LPD, RPD for pancreatic and periampullary tumors could be safe and effective, and it has superior surgical outcomes. Further randomized controlled trials to verify the potential advantages of RPD over LPD are necessary.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=581133, identifier CRD42024581133.
Pathologic diagnosis and molecular features of gastrointestinal stromal tumors: a mini-review
Authors: Kim Younghoon , Lee Sung Hak
Published: November 2024

Gastrointestinal stromal tumors (GISTs) arise from the interstitial cells of Cajal, predominantly affecting the stomach and small intestine, with rare occurrences in the duodenum, rectum, and extraintestinal sites. Histologically, GISTs can present as spindle cells, epithelioid cells, or mixed morphologies, with immunohistochemical staining revealing expression of KIT (CD117) and discovered on GIST 1 (DOG1). Approximately 80% of GISTs harbor activating mutations in KIT or platelet derived growth factor receptor α (PDGFRA), which influence their clinical behavior and treatment response. SDH-deficient GISTs, associated with syndromes such as Carney triad and Carney–Stratakis syndrome, represent a distinct subgroup with unique characteristics and management challenges. The standard treatment includes surgery and imatinib for metastatic cases; however, resistance to tyrosine kinase inhibitors remains a significant hurdle, especially in pediatric and wildtype GISTs. This highlights the need for advanced therapeutic strategies and emphasizes the importance of molecular profiling in guiding treatment decisions and improving outcomes for GIST patients.
Videothoracoscopic management of hemoptysis due to anomalous bronchial vessel treated with multiple bronchial artery embolizations: a case report
Authors: Gismondi Alice , Frediani Simone , Pardi Valerio , Pietro Aloi Ivan , Bertocchini Arianna , Accinni Antonella , Inserra Alessandro
Published: November 2024

Introduction

Hemoptysis is an alarming clinical presentation caused by a vast number of primitive conditions (infectious, malignancies, malformations, vasculitis). However, at the root of hemoptysis, there is always a “noxa patogena” altering vessel structure, usually bronchial arteries, which are characterized by high pressure. Bronchial artery embolization (BAE) is the first-line treatment for hemoptysis for its technical and clinical success, although the long-term overall outcome is not equally adequate.

Case report

A 12-year-old boy was referred to our hospital for massive hemoptysis after a history of recurrent episodes since the age of 3. The patient had been diagnosed with bilateral and widespread bronchial artery hypertrophy at another hospital and treated with several BAE procedures. We performed BAE to stabilize the child as well as an angio-CT scan, which confirmed the presence of the recently placed coil to embolize a hypertrophic bronchial arteriosus branch originating from the left thyrocervical trunk and directed to the right lower lobe. Results of previous embolization (metal coils) were found at the origin of the right inferior thyroid artery and the right costo-cervical trunk. After 21 months since his first admission to our hospital, the patient was transferred by air ambulance for a massive hemoptysis recurrence. Further BAE of the previously coiled vessel coming from the right succlavia (and right inferior thyroid artery) was impossible to perform due to the presence of the coils positioned in the past. A thoracoscopic approach was chosen: the previously identified anomalous vessel was isolated and ligated using double metal clips, two on both the proximal and distal sides. Accurate exploration of the thoracic cavity was accomplished, verifying the absence of collateral vessels coming from the diaphragmatic side. The patient was discharged in four days in good clinical.

Discussion

Although bare-minimum invasive embolism (BAE) is still the gold standard for treatment, there are situations when it may not produce the desired clinical outcome and increase the risk of rebleeding. In these situations, minimally invasive surgical procedures using a videothoracoscopic approach can be beneficial if there is a suspicion of an aberrant vessel on a DSA or CT scan.
Mechanism of Valeriana officinalis L. extract improving atherosclerosis by regulating PGC-1α/Sirt3/Epac1 pathway
Authors: Yao Bo , Ma Jingzhuo , Ran Qingzhi , Chen Hengwen , He Xuanhui
Published: November 2024

Objective

To investigate the protective effect of the of Valeriana officinalis L. extract on mitochondrial injury in AS mice and the underlying mechanism.

Methods

Firstly, Ultra-High performance liquid chromatography-quadrupole time-of-flight mass spectrometer (UPLC / Q-TOF-MS) was proposed to explore the chemical composition of Valeriana officinalis L. extract. ApoE-/- mice were employed for in vivo experiments. The efficacy of Valeriana officinalis L. extract was detected by B-ultrasound, Biochemical, Oil Red O staining, HE staining and Masson staining analysis. The molecular mechanism of Valeriana officinalis L. extract in regulating mitochondrial energy metabolism for the treatment of atherosclerosis was elucidated after Monitoring System of Vascular Microcirculation in Vivo and transmission electron microscopy. Use the corresponding reagent kit to detect ACTH level, CHRNα1 level and ATP level, and measure the expression levels of PGC-1α, Sirt3, Epac1, Caspase-3, and Caspase-9 through real-time qPCR, and Western blot.

Results

A total of 29 metabolites were newly discovered from KYXC using UPLC-MS. The drug had a significant positive effect on the growth of atherosclerotic plaque in mice. It also improved the microcirculation of the heart and mesentery, reduced the levels of CHOL, TG, and VLDL in the serum, and increased the levels of HDL-C to maintain normal lipid metabolism in the body. Additionally, it increased the levels of ATP, improved the ultrastructure of mitochondria to maintain mitochondrial energy metabolism, and increased the levels of T-SOD to combat oxidative stress of the organism. Furthermore, the drug significantly increased the mRNA and protein expression of PGC-1α and Sirt3 in aortic tissue, while decreasing the mRNA and protein expression of Epac1, Caspase-3, and Caspase-9.

Conclusion

This study has verified that the extract of Valeriana officinalis L. is highly effective in enhancing atherosclerosis disease. The mechanism is suggested through the PGC-1α/Sirt3/Epac1 signaling pathway, which improves mitochondrial energy metabolism.
Integrating QTL mapping and transcriptome analysis to provide molecular insights into gynophore-pod strength in cultivated peanut (Arachis hypogaea L.)
Authors: Chu Wen , Zhu Xiaofeng , Jiang Tao , Wang Song , Ni Wanli
Published: November 2024

Introduction

Gynophore-pod strength is one of important mechanical properties that affect mechanized harvesting quality in peanut. Yet its molecular regulation remains elusive.

Methods

We measured gynophore-pod strength across three environments using a recombinant inbred line (RIL) population derived from a cross between Yuanza9102 and Xuzhou68-4, followed by QTL mapping. Lines with extreme gynophore-pod strength from the RILs were selected to perform anatomical analysis and transcriptome analysis to elucidate the underlying molecular mechanisms governing gynophore-pod strength.

Results and discussion

Both genotypic factor and environments affected gynophore-pod strength significantly, and its broad sense heritability (h2) was estimated as 0.77. Two QTLs that were stable in at least two environments were detected. qGPS.A05-1 was mapped 4cM (about 1.09Mb) on chromosome A05, and qGPS.B02-1 was mapped 3cM (about 1.71Mb) on chromosome B02. Anatomical analysis showed higher lignin content in lines with extreme high gynophore-pod strength compared to those with extreme low gynophore-pod strength. Additionally, comparative transcriptome analysis unveiled that phenylpropanoid biosynthesis was the main pathway associated with high gynophore-pod strength. Further, we predicted VJ8B3Q and H82QG0 as the candidate genes for qGPS.A05-1 and qGPS.B02-1, respectively. The two stable QTLs and their associated markers could help modify gynophore-pod strength. Our findings may offer genetic resources for the molecular-assisted breeding of new peanut varieties with improved mechanized harvesting quality.
Exploring the adolescents’ career development and career-related teacher support: the NEFELE career guidance model
Authors: Parola Anna , Diano Federico , Ponticorvo Michela , Sica Luigia Simona
Published: November 2024

Introduction

In today’s dynamic landscape, navigating career paths in the midst of economic, societal, and technological changes has become increasingly challenging. The developmental psychology studies (see the career construction theory framework) and European educational standards consistently support the crucial role of teachers in supporting students’ career choices. However, teachers do not seem to be trained for this role, and the NEFELE project aims to fill this gap. The training model proposed in this paper aims to provide teachers with the knowledge and tools to support their students’ career choices in educational systems.

Methods

Using a randomized control trial, a study was conducted in the Italian context involving 8 teachers and their classrooms. Pre- and post-test measurements were carried out to study the effectiveness of the intervention.

Results

Students in the experimental group who participated in career guidance activities taught by teachers trained through the NEFELE training model show an increase in career-related teacher support, career adaptability, career explorations, and career competences.

Discussion

Implications for practice are discussed.
Sleep deprivation alters utilization of negative feedback in risky decision-making
Authors: Xu Wenhao , Wang Lubin , Yang Liu , Zhu Yuyang , Chen Pinhong
Published: November 2024

Background

Sleep loss has sometimes catastrophic effects on risky decision-making. However, it is unknown to what extent such deficits are exacerbated with increasing duration of sleep deprivation (SD) and whether sustained vigilant attention mediates this sleep deprivation-induced deficit.

Methods

The present study aimed to investigate the effect of 36 hours of SD on 37 male college students’ arousal, emotion, vigilant attention, and risky decision-making, using the Psychomotor Vigilance Test, the Game of Dice Task, and scales assessing fatigue, sleep, and emotions.

Results

Compared to baseline, SD significantly increased sleepiness, fatigue, and negative emotions, decreased positive emotions and vigilant attention, and led to a shift toward risky decision-making, and these effects often appeared 15 or 20 hours after SD. Interestingly, participants’ ability to employ positive feedback was maintained, whereas their performance to utilize negative feedback was impaired even after 8 hours of sleep deprivation. Meanwhile, vigilant attention acted as a mediator between SD and risky decision-making (z = -1.97, 95% [-6.00, -0.30]).

Discussion

These results suggest that sleep-deprived individuals are unable to use negative feedback to optimize their judgments, which may account for their poor decision-making under risk.
Safety assessment of disulfiram: real-world adverse event analysis based on FAERS database
Authors: Luo Jing , Zeng Yaqi , Chen Zhe , Luo Yaan , Shi Li , Zhou Xuhui
Published: November 2024

Objective

Disulfiram, an FDA-approved medication for AUD, has shown significant potential as a repurposed drug in therapeutic areas including oncology and infectious diseases. The purpose of study is to analyze adverse events (AEs) associated with disulfiram by examining the FAERS database, with a focus on understanding its safety profile in both traditional and emerging applications.

Methods

AE reports concerning disulfiram in the FAERS database from the fourth quarter of 2002 to the third quarter of 2023 were extracted. Various signal detection methods, including ROR, PRR, BCPNN, and MGPS, were used to detect and categorize adverse events.

Results

The study collected 52,159,321 AE reports, with 508 reports primarily suspecting disulfiram, identifying 104 Preferred Terms (PTs) across 25 System Organ Classes (SOCs). Major categories of AEs included off label use, psychiatric symptom, liver transplant, and polyneuropathy, with off label use being notably the most reported issue. Strong and new potential AEs were identified, including neurological and psychiatric issues like hypomania, delirium, and vocal cord paralysis; cardiac issues such as electrocardiogram st segment depression; and off label use-related issues like Jarisch-Herxheimer reaction.

Conclusion

Disulfiram poses risks of various adverse reactions while having promise as a “repurposed” agent. In clinical applications, practitioners should closely monitor occurrences of hepatobiliary disorders, psychiatric disorders, and nervous system disorders.
The efficacy of cognitive behavioral therapy for insomnia in adolescents: a systematic review and meta-analysis of randomized controlled trials
Authors: Mei Zhengyang , Cai Chenyi , Luo Shulai , Zhang Yuanzhuo , Lam Chifong , Luo Shi
Published: November 2024

Objective

The objective of this systematic review and meta-analysis was to evaluate the overall efficacy of cognitive behavioral therapy for insomnia (CBT-I) in treating insomnia in adolescents, and to examine the efficacy of CBT-I on different sleep-related outcomes in this population.

Methods

Randomized controlled trials (RCTs) of CBT-I on insomnia in adolescents were identified using electronic databases and manual searches. The Revised Cochrane risk-of-bias tool for randomized trials (RoB 2) was used to assess risk of bias in RCTs. A standardized mean difference (SMD) with a 95% confidence interval (CI) was used to combine effect sizes. A sensitivity analysis was performed for each outcome using a stepwise elimination method to assess whether the pooled results were significantly affected by individual studies.

Results

The analysis included 8 RCTs involving a total of 599 participants. The meta-analysis indicated that marked and statistically significant improvements in insomnia (SMD = −1.06; 95% CI -1.65 to −0.47; p < 0.01), sleep onset latency (SMD = −0.99; 95% CI -1.65 to −0.32; p < 0.01), total sleep time (SMD = 0.50; 95% CI 0.10 to 0.90; p = 0.01), and sleep efficiency (SMD = 0.57; 95% CI 0.26 to 0.87; p < 0.01) were observed at post-treatment time point following CBT-I. At follow-up time point, a statistically significant improvement in insomnia (SMD = −0.79; 95% CI -1.42 to −0.17; p = 0.01) was observed following CBT-I.

Conclusion

CBT-I was effective in improving insomnia in adolescents and some sleep-related outcomes, including sleep onset latency, total sleep time, and sleep efficiency. CBT-I was characterized by low risk and high therapeutic benefits and could serve as alternative or adjuvant approaches to medication for the treatment of insomnia. Considering the advantages in terms of safety and efficacy, CBT-I should be the preferred intervention for the treatment of insomnia in adolescents.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/, CRD42024526102.
Trend of hand, foot and mouth disease before, during, and after China’s COVID control policies in Zhejiang, China
Authors: Ding Zheyuan , Lu Qinbao , Wu Haocheng , Wu Chen , Lin Junfen , Wang Xinyi , Fu Tianying , Yang Ke , Song Queping
Published: November 2024

Objective

To describe the trends in the incidence of hand, foot and mouth disease (HFMD) before, during, and after China’s Coronavirus Disease (COVID) control policies, and to interpret the influence on HFMD incidence at different control stages in Zhejiang Province.

Methods

We collected data on HFMD cases in Zhejiang between 2014 and 2023. We compared the constituent ratios of cases at different COVID control stages by sex, age, child groups, and pathogens and weekly seasonal indices to observe seasonal variations in the incidence of HFMD. An interrupted time-series segmented regression analysis was applied to estimate the influence on HFMD incidence at different control stages. Stratified and sensitivity analyses were conducted to validate the findings.

Results

A considerable proportion of cases occurred among children living separately. The proportions of children in kindergartens or nurseries and children aged 2–4 years were relatively low at the strict control stage compared to the other three stages. Enteroviruses other than enterovirus 71 and coxsackie virus A16 were the dominant HFMD pathogens, and the proportion showed an increasing trend. The usual spring–summer peak in HMFD incidence did not occur in 2020, and the periodicity of the biennial peak was disrupted for a year. The summer peak in 2023 was higher than that in the other years, and was delayed by 3 weeks. The trend changes in weekly HFMD cases during the strict control and regular control stages were − 15% (IRR: 0.85, 95% CI: 0.81–0.89) and 17% (IRR: 1.17, 95% CI: 1.12–1.23), respectively. However, the change was not statistically significant during the reopening stage (IRR: 1.41, 95% CI: 0.34–5.88). The expected number of cases increased by 1.12 times (95% CI: 243.17, 53.45%) during the reopening stage compared to what would have occurred if the zero-COVID policy had continued in 2023.

Conclusion

Non-pharmaceutical interventions (NPIs) for COVID-19 control can mitigate HFMD. However, after the dynamic zero-COVID policy ended, the HFMD incidence returned to historical levels. Strict NPIs such as traffic restrictions and kindergarten closures cannot be sustained long-term. NPIs such as improving personal hygiene for routine prevention are highly recommended.
Investigating generative AI models and detection techniques: impacts of tokenization and dataset size on identification of AI-generated text
Authors: Hua Haowei , Yao Co-Jiayu
Published: November 2024

Generative AI models, including ChatGPT, Gemini, and Claude, are increasingly significant in enhancing K–12 education, offering support across various disciplines. These models provide sample answers for humanities prompts, solve mathematical equations, and brainstorm novel ideas. Despite their educational value, ethical concerns have emerged regarding their potential to mislead students into copying answers directly from AI when completing assignments, assessments, or research papers. Current detectors, such as GPT-Zero, struggle to identify modified AI-generated texts and show reduced reliability for English as a Second Language learners. This study investigates detection of academic cheating by use of generative AI in high-stakes writing assessments. Classical machine learning models, including logistic regression, XGBoost, and support vector machine, are used to distinguish between AI-generated and student-written essays. Additionally, large language models including BERT, RoBERTa, and Electra are examined and compared to traditional machine learning models. The analysis focuses on prompt 1 from the ASAP Kaggle competition. To evaluate the effectiveness of various detection methods and generative AI models, we include ChatGPT, Claude, and Gemini in their base, pro, and latest versions. Furthermore, we examine the impact of paraphrasing tools such as GPT-Humanizer and QuillBot and introduce a new method of using synonym information to detect humanized AI texts. Additionally, the relationship between dataset size and model performance is explored to inform data collection in future research.
Risky sexual practice and associated factors among antiretroviral therapy attendees in public health facilities, Wolaita Zone, South Ethiopia: a multi-center cross-sectional study
Authors: Salato Sisay Petros , Besha Befekadu Bekele , Amele Esayas Aydiko , Abiso Temesgen Lera
Published: November 2024

Background

The majority of people living with Human Immunodeficiency Virus (HIV) are in low- and middle-income countries, particularly in sub-Saharan Africa. Increased risky sexual practice puts people living with the human immune virus at higher risk of acquiring sexually transmitted infections other than the human immune virus and unplanned pregnancies. Sexually transmitted infections, particularly viral hepatitis (B and C), significantly impair antiretroviral therapy and the clinical outcome of the co-infected individual, leading to increased morbidity and mortality. The purpose of this study was to investigate the prevalence of risky sexual practices among antiretroviral therapy (ART) attendees in public health facilities within the Wolaita Zone of South Ethiopia.

Methods

From September to October 2023, a facility-based cross-sectional study was conducted among adult people living with HIV on ART in the Wolaita zone. Data was collected through a pretested and structured questionnaire. Six diploma nurses were trained to collect data. Systematic sampling techniques were used to select a total of 398 ART patients. Data were collected by Open Data Kit (ODK) and analyzed with SPSS Version 25. Binary and multiple logistic regression analyses were used. All the variables with a P-value of 0.25 associated with risky sexual practices are considered candidate variables. Multicollinearity was checked. The fitness of the model was tested by the Hosmer-Lemshow goodness of fit test. Finally, statistical significance was declared at a p-value of 0.05.

Result

A total of 398 respondents took part in this study. The prevalence of risky sexual practices in the past six months was 174 (43.7%) at 95% of the CI (38.9–48.7). The result of multiple logistic regression analysis showed that not disclosing HIV status (AOR = 1.8, 95% CI: 1.1–3.31), alcohol drinking (AOR = 3.1, 95% CI: 1.66–0.023), and poor social support (AOR = 1.9, 95% CI: 1.75–3.9) were statistically significantly associated with risky sexual practices.

Conclusion

This study revealed that the risky sexual practice among ART clients was high and disclosure status, social support, and alcohol use were factors associated with risky sexual practice. The governmental and non-governmental bodies have to strengthen social support for ART clients, disclosure status for ART clients, and counseling to avoid alcohol.
Kinetic variables of the lower limb joint that affect the drop jump index at different drop heights
Authors: Yoshida Takuya , Zushi Amane , Zushi Kodayu , Hayashi Ryohei , Maemura Hirohiko , Tanigawa Satoru
Published: November 2024

Background

The drop jump index evaluates power exertion in the lower limb stretch-shortening cycle. In addition, the ability to exert power during the stretch-shortening cycle can be evaluated in detail by combining the drop jump index with the kinetic variables of the three lower limb joints. The purpose of this study was to determine the kinetic variables of the three lower limb joints during takeoff that affect the drop jump index of a drop jump from different drop heights.

Methods

In total, 100 male athletes performed drop jumps from three drop heights (0.3, 0.6, and 0.9 m). Drop jump index and kinetic variables (torque, power, and work) of the three lower limb joints were calculated using body coordinates by infrared camera, and ground reaction force data by force plate. Multiple regression analysis was used to examine the parameters by which the kinetic variables of the three lower limb joints affected the drop jump index.

Results

As a result, ankle joint and knee joint positive power were extracted as parameters affecting drop jump index at 0.3 m. In addition to these parameters, ankle negative power, ankle negative work and hip eccentric torque at 0.6 m, and knee eccentric torque at 0.9 m were extracted as parameters affecting the drop jump index.

Conclusions

These results suggest that a higher drop height leads to a greater effect of eccentric torque exertion at the knee and hip joints and of positive power at the ankle and knee joints on the acquisition of the drop jump index.
Danish guidelines for treating acute colonic obstruction caused by colorectal cancer—a review
Authors: Mikalonis Martynas , Avlund Tue Højslev , Løve Uffe Schou
Published: November 2024

Acute onset of colonic obstruction caused by colorectal cancer occurs in approximately 14% of Danish patients with colon cancer(1). Given that colorectal cancer is a common cancer with about 4,500 new cases annually, acute onset will occur in a reasonably large number of patients in Danish emergency departments, and all surgeons should be familiar with the treatment principles. A revised guideline from the Danish Colorectal Cancer Group is currently underway, and this status article reviews the latest knowledge and recommendations.
Comparative analysis of racing performance following surgical correction of epiglottic entrapment in standardbreds and thoroughbreds
Authors: Norton Alannah M. , Rosanowski Sarah M. , O’Brien Tom
Published: November 2024

Introduction

Epiglottic entrapment (EE) is a common cause of poor performance in racing standardbreds (STBs) and thoroughbreds (TBs). There is limited information published on the condition in STB racehorses and limited information on factors associated with return to racing available for either breed.

Methods

This study investigated and compared the pre surgical findings, post-surgical complications and racing performance in STBs and TBs undergoing surgery for correction of EE. Associations between signalment and pre-surgical findings, and the presence of complications and racing post-surgery were compared using logistic regression analyses. Racing performance following surgery was compared to maternal siblings using conditional logistic regression.

Results

There were 82 cases where epiglottic entrapment surgery was performed at least once: 33 STB cases and 49 TB cases. In total, 74% of cases raced following surgery. Cases with severe inflammation post-surgery (p < 0.001), airway complications (p < 0.001) or an epiglottic re-entrapment (p < 0.01) were at a lower odds of racing post-surgery. TB cases were 5.5 times (95% Confidence interval 1.61 to 18.73) more likely to race than their maternal siblings (p < 0.01). TB cases took 79% longer to return to racing compared to STB cases (p < 0.001). Horses that had raced prior to surgery were 4.1 times more likely to race after surgery than those that had not (95% CI 1.01–16.67).

Conclusion

Horses with post operative complications were at a lower odds of racing post surgery. In the current study, TBs with EE are more likely to race compared to their maternal half siblings however take longer to return to racing compared to STBs.
Light Intensity Effects on Productivity and Post-Harvest Quality in Perilla frutescens Cultivated in CEA
Authors: Viršilė Akvilė , Gudžinskaitė Ieva , Laužikė Kristina , Kudirka Gediminas , Pukalskas Audrius , Samuolienė Giedrė
Published: November 2024

Leafy vegetables, mainly lettuces, are currently the main crop cultivated in controlled environment agriculture (CEA), including vertical farming and plant factories. There is a rising demand to expand this portfolio with a wider variety of underutilized edible plants containing various bioactive compounds and sensory properties seeking to enrich human diets. However, the optimal cultivation conditions for these underutilized plants significantly differ from those optimized for lettuce, basil, and other popular CEA crops. Therefore, this study aims to explore the impacts of light-emitting diode (LED) lighting intensity (photosynthetic photon flux density, PPFD) on green leaf Perilla frutescens cultivated in CEA. Plants were grown under four levels of LED lighting PPFDs from 150 to 300 µmol m−2s−1 for 4 weeks. Plant biomass productivity, soluble sugar contents, antioxidant properties (DPPH, ABTS free radical scavenging activities, FRAP antioxidant power), and total contents of phenolic compounds in leaves were evaluated at harvesting time. Further, harvested plant material was stored in the dark, at +6 °C, and the water content, water loss and transpiration rate, leaf sugar contents, and antioxidant properties were monitored 1, 3, and 5 days after harvesting. The summarized data suggest that higher cultivation lighting PPFD results in better harvest quality preservation during post-harvest storage.
Dead Broiler Detection and Segmentation Using Transformer-Based Dual Stream Network
Authors: Ham Gyu-Sung , Oh Kanghan
Published: November 2024

Improving productivity in industrial farming is crucial for precision agriculture, particularly in the broiler breeding sector, where swift identification of dead broilers is vital for preventing disease outbreaks and minimizing financial losses. Traditionally, the detection process relies on manual identification by farmers, which is both labor-intensive and inefficient. Recent advances in computer vision and deep learning have resulted in promising automatic dead broiler detection systems. In this study, we present an automatic detection and segmentation system for dead broilers that uses transformer-based dual-stream networks. The proposed dual-stream method comprises two streams that reflect the segmentation and detection networks. In our approach, the detection network supplies location-based features of dead broilers to the segmentation network, aiding in the prevention of live broiler mis-segmentation. This integration allows for more accurate identification and segmentation of dead broilers within the farm environment. Additionally, we utilized the self-attention mechanism of the transformer to uncover high-level relationships among the features, thereby enhancing the overall accuracy and robustness. Experiments indicated that the proposed approach achieved an average IoU of 88% on the test set, indicating its strong detection capabilities and precise segmentation of dead broilers.
Antimicrobial Usage Monitoring Systems and Stewardship of Antimicrobials in Animal Health
Authors: Miranda Carla
Published: November 2024

Antimicrobials, especially antibiotics, have transformed modern medicine; significantly impacted the health of humans, animals, and plants; and enhanced food safety and security [...]
The Pharmacokinetics of Δ9-Tetrahydrocannabinol in Sheep
Authors: Stevens Sarah A. , Edwards Scott H. , Noble Glenys K. , Scrivener Colin J. , Krebs Gaye L. , Petzel Christopher E. , May Christopher D. , Tai Zi Xuan , Blake Bronwyn L. , Dods Kenneth C. , Warne Leon N.
Published: November 2024

The pharmacokinetics of Δ9-tetrahydrocannabinol (Δ9-THC) has not been established in ruminants. Pharmacokinetic knowledge is important given feeding industrial hemp biomass has been shown to result in tissue residues post feeding in sheep. Due to a lack of testing and available data, a ‘maximum’ concentration of Δ9-THC has not been currently set for foods of animal origin. Consequently, this study was designed to gain a better understanding of how ruminants process Δ9-THC. Eight Merino ewes were administered with two per os (PO) doses of 88.5 mg Δ9-THC/kg bodyweight (BW) 12 h apart. Blood samples were collected periodically post dosing to determine the pharmacokinetics of Δ9-THC and subcutaneous fat biopsies were taken to investigate the deposition and elimination of Δ9-THC from sheep. An elimination half-life of 31.40 ± 13.87 h was identified, with residues persisting in the subcutaneous fat for 28 d in five of the eight sheep, before decreasing below the limit of detection in all sheep by 91 d. These results support the prolonged presence of Δ9-THC residues previously identified. Thus, imposing a practical withholding period for ruminants involved in the food chain may not be possible, with further research required to investigate how iHemp biomass may be safely fed to ruminants.
Growth Performance, Carcass Quality, and Lipid Metabolism in Krškopolje Pigs and Modern Hybrid Pigs: Comparison of Genotypes and Evaluation of Dietary Protein Reduction
Authors: Škrlep Martin , Poklukar Klavdija , Vrecl Milka , Brankovič Jana , Čandek-Potokar Marjeta
Published: November 2024

This study compared the performance, meat quality and adipose tissue characteristics of Krškopolje pigs and modern hybrid pigs under identical rearing conditions, besides examining the effects of dietary protein reduction in both genotypes. A total of 29 pigs (14 Krškopolje and 15 hybrids) were assigned to litter into two dietary groups (high and low protein). The low-protein diet for hybrid pigs corresponded to the high-protein diet for Krškopolje pigs. All diets were iso-energetic. Dietary protein reduction decreased growth rate and muscle development in modern hybrids but had no significant impact on performance, quality or metabolic traits in Krškopolje pigs. Genotype differences revealed that Krškopolje pigs had lower growth rates, less lean and more fat deposition, as reflected in thicker subcutaneous and higher intramuscular fat compared to modern hybrids. Krškopolje pigs also exhibited higher myoglobin concentration and fatty acid saturation. Lipogenic enzyme activity and histo-morphological traits behaved in a tissue-specific manner but still indicated a greater lipogenic potential in Krškopolje pigs. This study provides valuable insights into breed-specific responses to dietary changes and highlights the unique characteristics of Krškopolje pigs.
Research on Biomechanics, Motor Control and Learning of Human Movements
Authors: Shan Gongbing
Published: November 2024

The discipline of biomechanics, devoted to understanding human movement, has ancient roots reaching back over 2300 years to the ancient Greek civilization [...]
Change and Detection of Emotions Expressed on People’s Faces in Photos
Authors: Piotrowski Zbigniew , Kaczyński Maciej , Walczyna Tomasz
Published: November 2024

Human emotions are an element of attention in various areas of interest such as psychology, marketing, medicine, and public safety. Correctly detecting human emotions is a complex matter. The more complex and visually similar emotions are, the more difficult they become to distinguish. Making visual modifications to the faces of people in photos in a way that changes the perceived emotion while preserving the characteristic features of the original face is one of the areas of research in deepfake technologies. The aim of this article is to showcase the outcomes of computer simulation experiments that utilize artificial intelligence algorithms to change the emotions on people’s faces. In order to detect and change emotions, deep neural networks discussed further in this article were used.
Spatiotemporal Pattern of Vegetation Coverage and Its Response to LULC Changes in Coastal Regions in South China from 2000 to 2020
Authors: Chen Zexuan , Xu Songjun
Published: November 2024

Analyzing vegetation coverage and land-use and land cover (LULC) characteristics helps to understand the interaction between human activities and the natural environment. The coastal regions of the Guangdong Province are economically active areas with frequent human activities, located in the advantageous natural environment of South China. This study analyzed the spatiotemporal characteristics of the normalized difference vegetation index (NDVI) and LULC from 2000 to 2020, to explore the response of NDVI changes to LULC changes. The results show that (1) the overall NDVI is relatively high, with a proportion of 85.37% to 89.48% of areas with higher coverage and above categories, mainly distributed in the east and west. Vegetation coverage showed an increasing trend. (2) The LULC in this area is mainly composed of forest land (46.5% to 47.5%) and cultivated land (30.7% to 33.4%), with forest land mainly distributed in relatively high-altitude regions and cultivated land mainly distributed in the plains. The changes in LULC from 2015 to 2020 were relatively significant, mainly due to the mutual transfer of cultivated land and forest land. In addition, built-up land continued to expand from 2000 to 2020, mainly in the Pearl River Delta. (3) The NDVI decreases come from the transfer of various types of land to built-up land, mainly in the Pearl River Delta region, while the NDVI increase comes from the stability and mutual transfer of cultivated land. The net contribution rate of forest land change to vegetation cover change is the most significant (−38.903% to 23.144%). This study has reference significance for the spatiotemporal characteristics of vegetation cover changes in coastal areas and their response to land-use changes, as well as coastal management and sustainable development.
Optimal Paradigms for Quantitative Modeling in Systems Biology Demonstrated for Spinal Motor Neuron Synthesis
Authors: Akgün Gülbahar , Bashirov Rza
Published: November 2024

Since the 1990s, Petri nets have been used in systems biology for quantitative modeling. Despite the increasing number of models developed during this period, doubts remain about their biological relevance. Although biological systems predominantly exhibit intracellular or cellular structures, the models rely largely on deterministic predictions, failing to capture the inherent randomness and uncertainties of such systems. The question arises whether these models accurately describe the dynamic behavior of biological systems. This paper introduces a methodology for selecting the appropriate modeling paradigms in systems biology. Initially, we construct a Petri net model and perform deterministic, stochastic, and fuzzy stochastic simulations. Then we perform various statistical tests to measure the discrepancies between the simulation results. Based on scale-density analysis, we determine the modeling approach that best approximates the biological system. Finally, we compare the results of the statistical tests and the scale-density analysis to identify the optimal modeling approach. We applied the proposed methodology to the synthesis of spinal motor neuron protein from the spinal motor neuron-2 gene. Analysis revealed significant discrepancies between the simulation results of different modeling paradigms. Due to the sparse nature of the underlying drug-disease network, we conclude that the fuzzy stochastic paradigm provides the most biologically relevant results. We predict drug combinations that could lead to an up to 149-fold increase in spinal motor neuron protein levels, indicating a promising treatment for the disease. This methodology has the potential for application to other gene-drug-disease networks and broader biological systems.
Phase Risk Analysis of Overhead Lines Under Complex Icing Conditions
Authors: Dong Xinsheng , Wan Yuanhao , Zhang Yiran , Zhu Yongcan
Published: November 2024

Phase-to-ground discharge of transmission lines due to ice cover is a common issue. To assess the risk of phase-to-ground discharge of overhead lines under complex ice-covering conditions, this study used finite element analysis to model the interaction between ground wire, conductor, and insulator. The study examined how different factors affect the minimum safe distance between the conductor and ground wire, as well as the risk coefficient of phase-to-ground discharge and the risk zone. The finding reveals that as icing thickness increases, conductor bouncing intensifies, reducing the phase-to-ground distance, and placing one half of the line span within the risk zone for the given conditions. For the same length of de-icing, the closer the de-icing region is to the midpoint, the greater is the maximum jump height of the conductor. When the span is extended to 600 m, the risk range covers approximately 70% of the total line length. Under strong winds, conductor lateral displacement increases with wind speed, which leads to a higher risk of discharge.
Spatial and Temporal Analysis of Surface Displacements for Tailings Storage Facility Stability Assessment
Authors: Koperska Wioletta , Stefaniak Paweł , Stachowiak Maria , Anufriiev Sergii , Kakogiannos Ioannis , Hernández-Ramírez Francisco
Published: November 2024

Monitoring the stability of tailings storage facilities (TSFs) is extremely important due to the catastrophic consequences of instability, which pose a threat to both the environment and human life. For this reason, numerous laboratory and field tests are carried out around dams. An extensive database is collected as part of monitoring and field research. The in-depth analysis of available data can help monitor stability and predict disaster hazards. One of the important factors is displacement, including surface displacements—recorded by benchmarks as well as underground displacements—recorded by inclinometers. In this work, methods were developed to help assess the stability of the TSF in terms of surface and underground displacement based on the simulated data from geodetic benchmarks. The context of spatial correlation was investigated using hot spot analysis, which shows areas of greater risk, indicating the places of correlation of large and small displacements. The analysis of displacements versus time allowed us to indicate the growing exponential trend, thanks to which it is possible to forecast the trend of future displacements, as well as their velocity and acceleration, with the coefficient of determination of the trend matching reaching even 0.97. Additionally, the use of a geographically weighted regression model was proposed to predict the risk of shear relative to surface displacements.
Weather Regimes in Northern Eurasia: Statistics, Predictability and Associated Weather Anomalies
Authors: Babanov Boris A. , Semenov Vladimir A.
Published: November 2024

A weather regimes approach is applied to study large-scale circulation patterns over the North Eurasian sector (NE, defined as 0–180° E and 40–80° N domain) during the 1940–2022 period using ERA5 reanalysis data. We identified four NE weather regimes (WRs) both for boreal winter and summer seasons using a k-means standard cluster analysis method for daily geopotential height fields (z500). Whereas the winter NE WRs do not have any significant long-term changes in occurrence, three summer NE WRs are found to have statistically significant linear trends of occurrence over the studied period, the most notable of which is a regime associated with anticyclonic activity centered over the Ural Mountains called Summer Ural High, which has a statistically significant trend of +2.4 days of seasonal occurrence per decade. Loops of statistically significant likely transitions are found for the NE WRs in both seasons, showing that the NE WRs evolution follows preferred paths and is not purely random. NE WRs’ seasonal occurrence is found to change depending on the phase of the El Nino oscillation and Northern Hemisphere sea-ice area anomalies in preceding seasons. El Nino events in autumn are associated with an increased occurrence of the Winter Scandinavian Blocking regime and a decreased occurrence of the Winter North Eastern High regime. Negative sea-ice area anomalies in autumn are associated with an increased occurrence of the Winter Ural High and a decreased occurrence of the Winter Scandinavian Low regime. NE WR’s are associated with considerable, up to several times, changes in probability of temperature and precipitation extremes over the NE region.
Deep Learning-Based Atmospheric Visibility Detection
Authors: Qu Yawei , Fang Yuxin , Ji Shengxuan , Yuan Cheng , Wu Hao , Zhu Shengbo , Qin Haoran , Que Fan
Published: November 2024

Atmospheric visibility is a crucial meteorological element impacting urban air pollution monitoring, public transportation, and military security. Traditional visibility detection methods, primarily manual and instrumental, have been costly and imprecise. With advancements in data science and computing, deep learning-based visibility detection technologies have rapidly emerged as a research hotspot in atmospheric science. This paper systematically reviews the applications of various deep learning models—Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), and Transformer networks—in visibility estimation, prediction, and enhancement. Each model’s characteristics and application methods are discussed, highlighting the efficiency of CNNs in spatial feature extraction, RNNs in temporal tracking, GANs in image restoration, and Transformers in capturing long-range dependencies. Furthermore, the paper addresses critical challenges in the field, including dataset quality, algorithm optimization, and practical application barriers, proposing future research directions, such as the development of large-scale, accurately labeled datasets, innovative learning strategies, and enhanced model interpretability. These findings highlight the potential of deep learning in enhancing atmospheric visibility detection techniques, providing valuable insights into the literature and contributing to advances in the field of meteorological observation and public safety.