bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combined treatment for a rare malignant glomus tumor of the esophagus with pulmonary and liver metastases: a case report and review of literature
Authors: Liu Yanan , Mao Jingjing , Shen Dongfeng , Jin Baoli , Wu Xueqin , Song Congcong , Du Wenjing 
Published: May 2024

BackgroundGlomus tumors are typically benign soft tissue tumors that occur at the extremities; malignant and viscerally occurring cases are extremely rare.Case presentationWe report a 49-year old male patient with a malignant esophageal glomus tumor that was complicated by lung and liver metastases. Genetic test results guided the patient’s individualized treatment. Consequently, treatment with Anlotinib combined with Tislelizumab achieved significant clinical benefits.ConclusionOur case report demonstrates that immunotherapy combined with anti-angiogenic therapy in patients with malignant esophageal glomus tumors can achieve significant efficacy and suggests the potential value of next-generation sequencing (NGS) detection in guiding personalized treatments in patients with malignant esophageal glomus tumors.
Synchronous neuroendocine liver metastases in comparison to primary pancreatic neuroendocrine tumors on MRI and SSR-PET/CT
Authors: Horng Annie , Ingenerf Maria , Berger Frank , Steffinger Denise , Rübenthaler Johannes , Zacherl Matthias , Wenter Vera , Ricke Jens , Schmid-Tannwald Christine 
Published: May 2024

BackgroundThe study aimed to compare and correlate morphological and functional parameters in pancreatic neuroendocrine tumors (pNET) and their synchronous liver metastases (NELM), while also assessing prognostic imaging parameters.MethodsPatients with G1/G2 pNET and synchronous NELM underwent pretherapeutic abdominal MRI with DWI and 68Ga-DOTATATE/TOC PET/CT were included. ADC (mean, min), SNR_art and SNT_T2 (SNR on arterial phase and on T2) and SUV (max, mean) for three target NELM and pNET, as well as tumor-free liver and spleen (only in PET/CT) were measured. Morphological parameters including size, location, arterial enhancement, cystic components, T2-hyperintensity, ductal dilatation, pancreatic atrophy, and vessel involvement were noted. Response evaluation used progression-free survival (PFS) with responders (R;PFS&gt;24 months) and non-responders (NR;PFS ≤ 24 months).Results33 patients with 33 pNETs and 95 target NELM were included. There were no significant differences in ADC and SUV values between NELM and pNET. 70% of NELM were categorized as hyperenhancing lesions, whereas the pNETs exhibited significantly lower rate (51%) of hyperenhancement (p&lt;0.01) and significant lower SNR_art. NELM were qualitatively and quantitatively (SNR_T2) significantly more hyperintense on T2 compared to pNET (p=0.01 and p&lt;0.001). NELM of R displayed significantly lower ADCmean value in comparison to the ADC mean value of pNET (0.898 versus 1.037x10-3mm²/s,p=0.036). In NR, T2-hyperintensity was notably higher in NELM compared to pNET (p=0.017). The hepatic tumor burden was significantly lower in the R compared to the NR (10% versus 30%).ConclusionsArterial hyperenhancement and T2-hyperintensity differ between synchronous NELM and pNET. These findings emphasize the importance of a multifaceted approach to imaging and treatment planning in patients with these tumors as well as in predicting treatment responses.
Computed tomography guided electromagnetic navigation system in percutaneous laser ablation for treating primary lung cancer: a case report
Authors: Liu Xiaodan , Zhang Shusen , Li Honglin , Ren Xuezhu , Xu Xiaolan , Wang Xuejing , Ye Liyun , Cai Zhigang 
Published: May 2024

BackgroundThe majority of patients of lung cancer have already lost the chance of surgery at the time of diagnosis. Percutaneous local thermal ablation is a precise minimally invasive technique and a viable alternative to surgical treatment. Compared with radiofrequency ablation and microwave ablation, percutaneous laser ablation for the treatment of lung tumors is less commonly used and reported, especially for primary lung cancer.Case presentationA 63-year-old male patient with mixed pulmonary nodules selected computed tomography-guided electromagnetic navigation system for percutaneous biopsy and laser ablation therapy. The puncture point was determined through Computed tomography scanning, along with the placement of the electromagnetic navigation system locators. After rapid on-site evaluation and pathological examination of the puncture tissue specimen, the diagnosis of lung adenocarcinoma was confirmed. A 980-nanometer wavelength semiconductor laser fiber was inserted into the appropriate position guided by the electromagnetic navigation system. Subsequently, a power of 7 watt was applied to ablate the tumor for 30 seconds, then pause for 60 seconds before repeating the procedure. Positron emission tomography-Computed tomography examination was performed 1 month after operation, suggesting complete response of the tumor.ConclusionHere, we present a case of percutaneous laser ablation treatment for primary lung cancer guided by computed tomography-electromagnetic navigation system. As a more precise, shorter duration, impedance-independent, safe and effective minimally invasive thermal ablation method, it is expected to gain wider application and become a novel alternative for surgical treatment.
Value of catecholamine levels in the differential diagnosis of vasovagal syncope and psychogenic pseudosyncope in children
Authors: Wang Hua , Ma Wandong , Jin Mei , Li Bo , Sun Suzhen 
Published: May 2024

Background and purposeVasovagal syncope (VVS) and psychogenic pseudosyncope (PPS) can be difficult to distinguish, given their similar clinical presentations. This study was conducted to explore the clinical value of catecholamine levels in the differential diagnosis of VVS and PPS in children.MethodsThis retrospective case-control study was conducted with data from children with VVS and PPS who underwent head-up tilt tests (HUTTs) at the Children's Hospital of Hebei Province between March 2021 and March 2023. The data collected were baseline clinical characteristics, HUTT results, serum catecholamine levels in the supine and upright positions, and 24 h urinary catecholamine concentrations. These variables were compared between the VVS and PPS groups.ResultsFrom 328 potentially eligible cases, 54 (16.46%) cases of VVS and 24 (7.32%) cases of PPS were included in the analysis. No significant difference in age, sex, body mass index, or syncope frequency was observed between the VVS and PPS groups. The main predisposing factors for syncope were body position changes in the VSS group (83.33%) and emotional changes in the PPS group (41.67%). The episode duration was significantly shorter in the VSS group than in the PPS group (4.01 ± 1.20 vs. 24.06 ± 5.56 min, p &lt; 0.05). The recovery time was also shorter in the VVS group than in the PPS group (1.91 ± 0.85 vs. 8.62 ± 2.55 min, p &lt; 0.05). Relative to patients with PPS, those with VVS had significantly higher serum epinephrine (EP) levels in the upright position [199.35 (102.88, 575.00) vs. 147.40 (103.55, 227.25), p &lt; 0.05] and lower serum epinephrine levels in the supine position [72.70 (42.92, 122.85) vs. 114.50 (66.57, 227.50), p &lt; 0.05].ConclusionsSerum EP levels have potential value in the differential diagnosis of VVS and PPS.
Cynanchum paniculatum (Bunge) Kitag. ex H.Hara inhibits pancreatic cancer progression by inducing caspase-dependent apoptosis and suppressing TGF-β-mediated epithelial-mesenchymal transition
Authors: Cheng Chien-Shan , Wu Yuan , Jin Jia-Bin , Xu Jia-Yue , Yang Pei-Wen , Zhu Wen-Hua , Zheng Lan , Chen Jing-Xian 
Published: May 2024

Background:Cynanchum paniculatum (Bunge) Kitag. ex H.Hara, a member of the Asclepiadaceae family, has a rich history as a traditional Chinese medicinal plant used to treat digestive disorders. However, its potential anti-cancer effects in pancreatic cancer remain largely unexplored.Aim: This study delves into the intricate anti-pancreatic cancer mechanisms of C. paniculatum (Bunge) Kitag. ex H.Hara aqueous extract (CPAE) by elucidating its role in apoptosis induction and the inhibition of invasion and migration.Methods: A comprehensive set of methodologies was employed to assess CPAE’s impact, including cell viability analyses using MTT and colony formation assays, flow cytometry for cell cycle distribution and apoptosis assessment, scratch-wound and Matrigel invasion assays for migration and invasion capabilities, and immunoblotting to measure the expression levels of key proteins involved in apoptosis and metastasis. Additionally, a murine xenograft model was established to investigate CPAE’s in vivo anti-cancer potential.Results: CPAE exhibited time- and dose-dependent suppression of proliferation and colony formation in pancreatic cancer cells. Notably, CPAE induced apoptosis and G2/M phase arrest, effectively activating the caspase-dependent PARP pathway. At non-cytotoxic doses, CPAE significantly curtailed the metastatic abilities of pancreatic cells, effectively suppressing epithelial-mesenchymal transition (EMT) and downregulating the TGF-β1/Smad2/3 pathway. In vivo experiments underscored CPAE’s ability to inhibit tumor proliferation.Conclusion: This study illuminates the multifaceted anti-proliferative, pro-apoptotic, anti-invasive, and anti-migratory effects of CPAE, both in vitro and in vivo. CPAE emerges as a promising herbal medicine for pancreatic cancer treatment, with its potential mediated through apoptosis induction via the caspase-dependent PARP pathway and MET suppression via the TGF-β1/Smad2/3 signaling pathway at non-cytotoxic doses. These findings advocate for further exploration of CPAE’s therapeutic potential in pancreatic cancer.
Proteomic profiling and biomarker discovery for predicting the response to PD-1 inhibitor immunotherapy in gastric cancer patients
Authors: Sun Jiangang , Li Xiaojing , Wang Qian , Chen Peng , Zhao Longfei , Gao Yongshun 
Published: May 2024

Background: Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment; however, a significant proportion of gastric cancer (GC) patients do not respond to this therapy. Consequently, there is an urgent need to elucidate the mechanisms underlying resistance to ICIs and identify robust biomarkers capable of predicting the response to ICIs at treatment initiation.Methods: In this study, we collected GC tissues from 28 patients prior to the administration of anti-programmed death 1 (PD-1) immunotherapy and conducted protein quantification using high-resolution mass spectrometry (MS). Subsequently, we analyzed differences in protein expression, pathways, and the tumor microenvironment (TME) between responders and non-responders. Furthermore, we explored the potential of these differences as predictive indicators. Finally, using machine learning algorithms, we screened for biomarkers and constructed a predictive model.Results: Our proteomics-based analysis revealed that low activity in the complement and coagulation cascades pathway (CCCP) and a high abundance of activated CD8 T cells are positive signals corresponding to ICIs. By using machine learning, we successfully identified a set of 10 protein biomarkers, and the constructed model demonstrated excellent performance in predicting the response in an independent validation set (N = 14; area under the curve [AUC] = 0.959).Conclusion: In summary, our proteomic analyses unveiled unique potential biomarkers for predicting the response to PD-1 inhibitor immunotherapy in GC patients, which may provide the impetus for precision immunotherapy.
Risk of dyslipidemia and major adverse cardiac events with tofacitinib versus adalimumab in rheumatoid arthritis: a real-world cohort study from 7580 patients
Authors: Ma Xiao-Na , Shi Mei-Feng , Wang Shiow-Ing , Feng Wei , Chen Shu-Lin , Zhong Xiao-Qin , Liu Qing-Ping , Cheng-Chung Wei James , Lin Chang-Song , Xu Qiang 
Published: May 2024

ObjectiveTo compare the effects of tofacitinib and adalimumab on the risk of adverse lipidaemia outcomes in patients with newly diagnosed rheumatoid arthritis (RA).MethodsData of adult patients newly diagnosed with RA who were treated with tofacitinib or adalimumab at least twice during a 3-year period from 1 January 2018 to 31 December 2020, were enrolled in the TriNetX US Collaborative Network. Patient demographics, comorbidities, medications, and laboratory data were matched by propensity score at baseline. Outcome measurements include incidental risk of dyslipidemia, major adverse cardiac events (MACE) and all-cause mortality.ResultsA total of 7,580 newly diagnosed patients with RA (1998 receiving tofacitinib, 5,582 receiving adalimumab) were screened. After propensity score matching, the risk of dyslipidaemia outcomes were higher in the tofacitinib cohort, compared with adalimumab cohort (hazard ratio [HR] with 95% confidence interval [CI], 1.250 [1.076–1.453]). However, there is no statistically significant differences between two cohorts on MACE (HR, 0.995 [0.760–1.303]) and all-cause mortality (HR, 1.402 [0.887–2.215]).ConclusionTofacitinib use in patients with RA may increase the risk of dyslipidaemia to some extent compared to adalimumab. However, there is no differences on MACE and all-cause mortality.
Visible/near-infrared hyperspectral imaging combined with machine learning for identification of ten Dalbergia species
Authors: Chen Zhenan , Xue Xiaoming , Wu Haoqi , Gao Handong , Wang Guangyu , Ni Geyi , Cao Tianyi 
Published: May 2024

IntroductionThis study addresses the urgent need for non-destructive identification of commercially valuable Dalbergia species, which are threatened by illegal logging. Effective identification methods are crucial for ecological conservation, biodiversity preservation, and the regulation of the timber trade.MethodsWe integrate Visible/Near-Infrared (Vis/NIR) Hyperspectral Imaging (HSI) with advanced machine learning techniques to enhance the precision and efficiency of wood species identification. Our methodology employs various modeling approaches, including Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA), Support Vector Machine (SVM), and Convolutional Neural Networks (CNN). These models analyze spectral data across Vis (383–982 nm), NIR (982–2386 nm), and full spectral ranges (383 nm to 2386 nm). We also assess the impact of preprocessing techniques such as Standard Normal Variate (SNV), Savitzky-Golay (SG) smoothing, normalization, and Multiplicative Scatter Correction (MSC) on model performance.ResultsWith optimal preprocessing, both SVM and CNN models achieve 100% accuracy across NIR and full spectral ranges. The selection of an appropriate wavelength range is critical; utilizing the full spectrum captures a broader array of the wood's chemical and physical properties, significantly enhancing model accuracy and predictive power.DiscussionThese findings underscore the effectiveness of Vis/NIR HSI in wood species identification. They also highlight the importance of precise wavelength selection and preprocessing techniques to maximize both accuracy and cost-efficiency. This research contributes substantially to ecological conservation and the regulation of the timber trade by providing a reliable, non-destructive method for identifying threatened wood species.
Digital natives of the labor market: Generation Z as future leaders and their perspectives on leadership
Authors: Yılmaz Betül , Dinler Kısaçtutan Elvin , Gürün Karatepe Seçil 
Published: May 2024

IntroductionToday’s labor market is comprised of different generations and in the near future, the majority of it will consist of Generation Z. In this respect, it is of great importance to know the perspective of Generation Z, which will take its place in leadership positions in organizations, on leadership and what kind of leader they will be. The present study probes to investigate how Generation Z will become a leader and their perspective on leadership. In this regard, the study aims to offer suggestions and guidance to the literature and organizations by providing information on what kind of leaders they will be as well as knowing the characteristics of Generation Z leaders.MethodsIn the study conducted Generation Z, employed in the IT sector, semi-structured interviews were held with 13 participants. While analyzing the data obtained from the interviews, the MAXQDA 2020 program was utilized and the thematic analysis method was applied.ResultsIn our findings about how Generation Z will be leaders in the future, two themes were identified, which include intra-organizational communication and working conditions. In the light of findings on the leadership of Generation Z, the sub-themes of being supportive, empathetic, egoless, managing people well and managing with love and respect were reached on the theme of intra-organizational communication. On the other hand, on the theme of working conditions, sub-themes such as providing training, offering payment according to output, preferring flexible working hours, being friendly, assigning appropriate work to the employee, being fun and not giving importance to gender were identified.DiscussionThe results revealed that Generation Z prefers managing their team with a people-oriented approach when they take leadership positions. From their perspective, the leader should understand and value his employees. Leaders who know the expectations of Generation Z will contribute to their organizations. In addition, organizations should improve their leadership skills by providing leadership training for Generation Z, who will be leaders in the future. In this way, they will make investment both in their leaders and their organizations.
Balancing the equation: assessing the impact of management practices on staff and faculty wellbeing in Chinese higher education institutions
Authors: Hu Tingting 
Published: May 2024

IntroductionThe intersection of work-family dynamics and job contentment has become a pivotal area of investigation within the higher education landscape, drawing scholarly attention, especially in the Chinese context. This study delves into the intricate relationship between work-family culture and job satisfaction, with a particular spotlight on the mediating influence of perceptions of organizational fairness. The impetus behind this emphasis lies in the burgeoning acknowledgment of organizational justice as a pivotal force shaping employee attitudes and conduct within academic establishments.MethodThis research was conducted using two distinct groups. The first group consisted of 1,075 faculty members at Chinese universities, while the second group comprised 972 administrative and technical employees at these institutions.ResultsThe mediational analyses provided in this study offer an enhanced comprehension of the intricate relationships under discussion. Significantly, the findings reveal that Work-Family Culture plays a crucial predictive role in influencing perceptions of Organizational Justice among both faculty and administrative staff. More importantly, the study uncovers that Work-Family Culture indirectly affects Job Satisfaction through its impact on Organizational Justice.DiscussionThis insight underscores the importance of harmonious work-family interactions as a determinant of job-related attitudes and satisfaction levels.
The impact of online classes on sleep, physical activity, and cognition functioning among physical education students
Authors: Haddad Monoem , Abbes Zied , Abdel-Salam Abdel-Salam G. 
Published: May 2024

IntroductionOnline education has become a crucial component of teachers’ professional development, and universities incorporate innovative pedagogical approaches to enhance teachers’ training. These approaches have proven invaluable, particularly during the COVID-19 pandemic. This study investigates the impact of online versus face-to-face learning environments on sleep quality, physical activity, and cognitive functioning among physical education students.MethodsUtilizing a unique methodological approach that combines wrist actigraphy, the Pittsburgh Sleep Quality Index, and the Cambridge Neuropsychological Test Automated Battery, we provide a comprehensive assessment of these variables. Over 4 weeks, 19 male students participated in alternating online and face-to-face class formats.ResultsOur results reveal no significant differences in sleep quality or cognitive function between learning environments. However, notable findings include significant differences in Paired Associates Learning and weekday step counts in the face-to-face setting.DiscussionThese insights suggest that while online learning environments may not adversely affect sleep or cognitive functions, they could impact certain aspects of physical activity and specific cognitive tasks. These findings contribute to the nuanced understanding of online learning’s implications and can inform the design of educational strategies that promote student well-being.
Geographical patterns of implementing a government subsidy program: implications for health outcomes and nutrient intake in Iran
Authors: Pakravan-Charvadeh Mohammad Reza 
Published: May 2024

IntroductionThe lack of access to a diverse and nutritious diet has significant health consequences worldwide. Governments have employed various policy mechanisms to ensure access, but their success varies.MethodIn this study, the impact of changes in food assistance policy on food prices and nutrient security in different provinces of Iran, a sanctioned country, was investigated using statistical and econometric models.ResultsBoth the old and new policies were broad in scope, providing subsidized food or cash payments to the entire population. However, the implementation of these policies led to an increase in the market price of food items, resulting in a decline in the intake of essential nutrients. Particularly, the policy that shifted food assistance from commodity subsidies to direct cash payments reduced the price sensitivity of consumers. Consequently, the intake of key nutrients such as Vitamin C and Vitamin A, which are often constrained by their high prices, decreased. To improve the diets of marginalized populations, it is more effective to target subsidies towards specific nutrient groups and disadvantaged populations, with a particular focus on food groups that provide essential nutrients like Vitamin A and Vitamin C in rural areas of Iran.DiscussionMore targeted food assistance policies, tailored to the specific context of each province and income level, are more likely to yield positive nutritional outcomes with minimal impact on food prices.