bluuebunny/crossref_metadata_2025_split huggingface dataset:
Case Report: Erfolgreiche präklinische Erythrozytentransfusion bei einem polytraumatisierten Patienten unter besonderen Bedingungen
Authors: von Rottkay Eberhard , Werdermann Sandra , Rößler Jörg 
Published: October 2024

ZusammenfassungPolytraumatisierte Patienten nach Verkehrsunfällen zählen weltweit, vor allem aber in ländlichen Regionen aufgrund der längeren Transportwege, zu den kritischen Patientengruppen. Wir stellen einen Fall vor, bei dem die Stabilisierung und das Überleben eines jungen Menschen durch den Einsatz des Epoc-Systems (EPOC BGA-System, Siemens Healthineers) der DRF-Luftrettung und der Sonografie sowie einer unkonventionellen Entscheidung aller Beteiligten ermöglicht werden konnte.Durch die Möglichkeit der Durchführung einer präklinischen Blutgasanalyse, sowie einer Point-of-Care-Sonografie (POCUS) wurde bei dem Patienten eine abdominelle Blutung diagnostiziert und die Indikation zur präklinischen Bluttransfusion gestellt. Der Patient konnte durch die Bereitstellung und Transfusion von Erythrozytenkonzentraten (EK) präklinisch stabilisiert werden.Der Fall verdeutlicht, dass eine Vorhaltung von Blutprodukten auf geeigneten Rettungsmitteln ein verbessertes Outcome kritisch verletzter Patienten ermöglichen kann.
Postpartum Readmission after Unscheduled Cesarean Delivery in Patients with Class 3 Obesity
Authors: Tewari Surabhi , Yao Meng , DeAngelo Lydia , Rogness Victoria , Buckley Lauren , Kollikonda Swapna , Goje Oluwatosin , Hopkins Maeve 
Published: October 2024

Objective This study aimed to identify risk factors for postpartum readmission (PPR) in class 3 obese patients undergoing unscheduled cesarean deliveries.
Study Design Retrospective cohort study of patients with a body mass index (BMI) of ≥40 kg/m2 undergoing unscheduled cesarean delivery from 2017 to 2020 comparing patients with and without PPR (unexpected admission, emergency room/overnight observation visit, unscheduled outpatient visit, or ambulatory surgery within 30 days). Medical history, operative data, and postpartum outcomes were compared between the cohorts.
Results The electronic medical record was queried to identify cesarean deliveries documented as “unscheduled.” In total, 255 of 1,273 identified patients (20.0%) had a PPR. Median BMI was similar between the cohorts (44.2 kg/m2, interquartile range [IQR]: [41.8, 47.9] vs. 44.8 kg/m2 [42.0, 48.9], p = 0.066). Readmitted patients were more likely to have a history of smoking during or prior to pregnancy (p = 0.046). A subgroup exploratory analysis excluding outpatient and emergency room visits demonstrated higher rates of type II diabetes mellitus in patients with PPR (11.5 vs. 4.6%, p = 0.030). Patients with readmission in comparison to those without readmissions were less likely to receive cefazolin prophylaxis (78.0 vs. 84.3%, p = 0.014) in comparison to gentamicin/clindamycin prophylaxis. Patients with readmission were less likely to have had vaginal preparation (56.9 vs. 64.3%, p = 0.027). On multivariable logistic regression analysis, smoking history (odds ratio [OR] = 1.44, 95% confidence interval [CI]: 1.06–1.96, p = 0.0220) and hypertensive disease (OR = 1.57, 95% CI: 1.18–2.09, p = 0.002) were associated with readmission. Cefazolin preoperative prophylaxis (OR = 0.59, 95% CI: 0.41–0.84, p = 0.004) and vaginal sterile preparation (OR = 0.72, 95% CI: 0.54–0.95, p = 0.022) were associated with decreased risk of readmission.
Conclusion In class 3 obese patients, a history of smoking and a diagnosis of hypertensive disease are associated with an increased risk of PPR. Perioperative antibiotic prophylaxis with cefazolin along with vaginal sterile preparation associate with a decreased risk of PPR.
Key Points
The Collection and Application of Autologous Amniotic Fluid to Cesarean Delivery Closure
Authors: Grotegut Chad A. , Weaver Kristin E. , Fried Lena , Dotters-Katz Sarah K. , Gilner Jennifer B. 
Published: October 2024

Abstract
Background Amniotic fluid and amnion membranes have been used in surgery specialties to improve wound healing and decrease surgical adhesion formation.
Objective The objective was to determine if amniotic fluid could be collected at cesarean delivery and then reapplied to the layers of the closure using the CeaLogic Specimen Collection and Ratio Applicator Kit.
Study Design Twenty pregnant individuals who met inclusion and exclusion criteria were enrolled. Amniotic fluid was collected at artificial rupture of the membranes using the collection kit. Autologous amniotic fluid was then transferred to the applicator kit, mixed with calcium chloride solution, and applied directly to each of the surgical repair layers during closure: closed hysterotomy incision, closed fascial incision, closed subcutaneous layer (if applicable), and closed skin. Subjects were then followed for six weeks. Photographs of the incision were taken immediately following surgery, one-week following surgery, and at the four-week postpartum visit. The Modified Hollander Cosmesis Score was used to assess wound appearance.
Results Twenty pregnant individuals who met inclusion and exclusion criteria were enrolled and all completed the study. The mean volume of amniotic fluid collected was 30 ± 19 mL. The median (IQR) Modified Hollander Cosmesis Score (Range 0-best, to 6-worst) at the one week and four-week postpartum visits was 0 (0,1) and 0 (0,2), respectively. There were no wound complications nor surgical site infections among the cohort. Further, there were no unscheduled visits for wound issues among any of the subjects.
Conclusion The CeaLogic Specimen Collection and Ratio Applicator Kits can be used to collect and reapply autologous amniotic fluid at the time of cesarean delivery. Future studies are needed to determine if the application of autologous amniotic fluid to cesarean delivery closure can improve cosmesis and wound healing, as well as decrease the risk for the development of intraabdominal adhesions.
Tellurenated Compounds: Synthesis and Application in Ion Detection and as a Catalyst
Authors: Kaswan Poonam 
Published: October 2024

AbstractTellurium is now recognized as a ‘technology-critical element’ that is quickly being used in innovative applications. The chemistry of organotellurium ligands has improved rapidly during the last three decades. Because of their enhanced accessibility and the possibility that they would display significantly different properties than their sulfur counterparts, these ligands of heavier chalcogens have sparked considerable attention. The next sections will go through the various tellurium ligands and associated transition-metal complexes. Organochalcogen ligands are exceedingly flexible ligands that may react with nearly any transition metal to form a wide range of compounds, including multidentate ligands.Tellurides of various metals have lately been investigated for potential use in storage devices, solar cells, piezoelectric, medical applications, electronics, photothermal treatment, nanoplatelets, nanocrystals, catalysis, and other fields. Researchers are interested in metal chalcogenide heterostructures because of their improved charge transport and synergistic optoelectronic and catalytic properties. A sensor for various metals based on Te electrodes and a donor ligand are used to generate electrical signals and identify different metals. Due to the scarcity of tellurium, metal telluride nanocrystal heterostructures have received less attention than metal sulfide and metal selenide nanocrystal heterostructures.1	Introduction2	Tellurenated Compounds of Zwitterionic Nature3	Synthesis of Tellurenated Ligands and Complexes4	Catalytic Application and and Suzuki–Miyara Coupling5	Tellurenated Sensors for Metal-Ion Sensing5.1	Tellurium-Ion Detectors5.2	Drawbacks/Catalyst Poisoning5.3	Disadvantages5.4	Advantages and Future Prospects6	Conclusions
Methanol for Hydrogenation and Methylation of Carbonyls: Advances and Challenges in Homogeneous Catalysis
Authors: Pratihar Sanjay , Padmor Manohar Shivaji 
Published: October 2024

AbstractThe catalytic dehydrogenation of methanol to give formaldehyde or formic acid, followed transfer hydrogenation and/or tandem (de)hydrogenation for the hydrogenation and C-methylation of carbonyls, offers advantages over traditional methods, including milder reaction conditions, improved safety, greater selectivity, and enhanced sustainability. This account provides a comprehensive overview of homogeneous catalysts reported for the transfer hydrogenation and C-methylation of various substrates, including ketones, chalcones, esters, and amides, using methanol as both a hydrogen donor and methylation source. We provide specific examples and mechanistic insights for each strategy, offering a thorough and concise overview of recent advancements from 2014 to 2024.1	Introduction2	Methanol Activation Strategies3	Hydrogenation of Carbonyls4	Methylation of Carbonyls5	Outlook and Summary
How the Menstrual Cycle Can Be Utilized During Sports Training, Performance, and Recovery through Wearable Technology: A Narrative Review for Researchers, Physicians, Coaches, and Athletes
Authors: Hunter Naiomi Nhen , Smith Morgan A. 
Published: October 2024

AbstractThe menstrual cycle (MC) serves as a vital indicator of overall health and metabolic function, regulated by the hypothalamic–pituitary axis and involving a complex interplay of hormones. Understanding these hormonal dynamics is crucial for deciphering an individual's physiological status and performance potential, particularly in athletes. Studies regarding the MC's impact on athletic performance and training often lack inclusivity, standardized methodologies, and inconsistent biological definitions, hindering comprehensive conclusions. Moreover, societal inequalities contribute to the underrepresentation of female athletes in research, exacerbating the lack of understanding regarding female physiology in sports medicine. Leveraging wearable technology presents a promising avenue for both tracking MCs and optimizing athletic training/recovery. Wearables offer real-time monitoring of biometrics that often correlate with hormonal fluctuations, and lifestyle trends (diet, sleep, stress) aiding in personalized training schedules and performance optimization. Integrating data collected by MC dynamics and wearable technology into athletic training has the potential to decrease the generally perceived negative impacts MC has on athletic performance. Addressing gaps in research methodologies and promoting awareness among athletes, coaches, and healthcare professionals are essential steps toward maximizing the potential of MC-informed training strategies.
Devising a Breast Cancer Diagnosis Protocol through Machine Learning
Authors: Mujtaba Tooba , Hashmi Saif Ullah , Imtiaz Usama Bin , Nusra Sheikh Jameel Fathima 
Published: October 2024

AbstractBreast cancer is a life-threatening disease and has serious health implications. It is categorized based on receptors, including the estrogen receptor (ER) and human epidermal growth factor receptor 2 (HER2), which are the focus of the present research We analyzed gene expression from data obtained from a functional genomics repository called Array Express. The accession numbers are E-GEOD-52194, E-GEOD-75367, and E-GEOD-58135, and the molecular details of these subsets of cancer receptors. Upon following a predefined computational pipeline, we identified 369 genes that had distinct patterns of gene expression profiles in cases of ER-positive (ER + ) and HER2-negative (HER2-) breast cancer. The support vector machine (SVM) and decision tree models of machine learning were used to evaluate the prognostic and diagnostic significance. Accuracy, sensitivity, and specificity were examined to gauge the effectiveness of these models. Then, a network analysis was performed to assess the significant biological process and signaling pathways of HER2- and ER+ breast cancer development. The present study facilitates an enhanced approach to these subcategories of breast cancer so that precise diagnoses can be made, and better and more focused treatment plans can be provided. The current research provides valuable information on the molecular and genetic basis of ER+ and HER2- breast cancer and has great potential for improving patients' treatment.
Evaluation of a Risk Model for Sepsis Early Prediction in Infants with Epidermolysis Bullosa
Authors: Zhang Shuyan , Wang Jing , Li Lingyu , Jiao Liyan , Liu Xiaojuan , Ping Lili 
Published: October 2024

Abstract
Objective Epidermolysis bullosa (EB) is a severe hereditary condition characterized by fragile skin that can lead to complications, including severe infections such as sepsis. Current research on sepsis in children with EB is limited, and there is a need for specific biomarkers that can aid in early detection and management.
Methods This study analyzed blood samples from 92 children diagnosed with EB, 42 of whom developed sepsis. We investigated various inflammatory proteins and clinical parameters as potential biomarkers. Multivariate analysis was used to determine predictors of sepsis occurrence.
Results Elevated levels of C-reactive protein (CRP), interleukin-6 (IL-6), lactate, and decreased oxygen saturation were significantly associated with sepsis in children with EB. The predictive model displayed an area under the receiver operating characteristic curve of 0.80 in the training set and 0.77 in the validation set, indicating good predictive accuracy.
Conclusion Our findings suggest that CRP, IL-6, lactate, and oxygen saturation are reliable predictors of sepsis in children with EB. These biomarkers should be monitored closely to facilitate early diagnosis and improve outcomes in this vulnerable population. The study underscores the need for tailored research and diagnostic strategies for children with EB at risk of sepsis.
Carotid Endarterectomy with Twisted Internal Jugular Vein Located Anterior to the Common Carotid Artery
Authors: Endo Arumu , Toyooka Terushige , Fujii Kazuya , Takeuchi Satoru , Yoshiura Toru , Nakagawa Masaya , Otsuka Yohei , Tomiyama Arata , Wada Kojiro 
Published: October 2024

AbstractThe knowledge of both normal and abnormal anatomy of the veins of the neck may be important for surgeons performing carotid endarterectomy (CEA), to avoid inadvertent injury to vascular structures. We present three cases of abnormal course of the internal jugular vein (IJV) which run anterior to the common carotid artery, named twisted IJV, that usually run posterolateral to the common carotid artery in patients undergoing CEA. These twisted IJV cases were detected by preoperative multidetector computed tomography angiography evaluation. During the CEA procedure, before identifying the common carotid artery, we dissected the retromandibular space to find the common facial vein. Then, dissection proceeded along the common facial vein caudally to find the IJV. After ligation and cutting of the common facial vein, a carotid sheath with the IJV turned laterally revealed the common carotid artery safely, and CEA was accomplished. Our clinical experience shows that knowledge of the anatomical anomaly of the IJV allows safe dissection of the carotid triangle avoiding inadvertent injury to the vasculature and vagus nerve.
Players in the Women's National Basketball Association Are More Likely to Tear Their Anterior Cruciate Ligament if They Are a Guard, Forward, or Driving to the Basket: A Case-Control Study
Authors: Hansen Payton Yerke , Hansen Austin , Baran Jessica V. , Kushner Jared , Jackson Garrett R. , Fomunung Clyde , John Devin Q. , Sabesan Vani J. 
Published: October 2024

AbstractThe Women's National Basketball Association (WNBA) has grown in popularity since its induction in 1996. Furthermore, it is well known that female athletes are at an increased risk of anterior cruciate ligament (ACL) tears compared with their male counterparts. The purpose was to examine the player positions and player movements during basketball games and practices that contribute to ACL tears in WNBA players. Player position and demographics from WNBA players who suffered an ACL tear from 1996 to 2021 were collected from publicly available sources. Entertainment and Sports Programming Network news reports and video analysis were reviewed to determine what movements each player was performing when the injury occurred. Injured players were matched with two noninjured players by age, position, height, and league experience. Performance statistics were collected one season prior to injury and compared with the matched controls. A total of 62 WNBA players with ACL injuries were identified with an average age of 26.7 (±3.9) years. More guards and forward were seen in the injured cohort and more players were injured while driving to the basket (p < 0.05). ACL injuries occurred more commonly during games than in practice (p < 0.05). Compared with controlled match cohort, the players who suffered ACL tears started more games (p = 0.007), had higher minutes played per game (p = 0.003), more field goals per game (p = 0.04), more field goal attempts per game (p = 0.03), more 3-point attempts per game (p = 0.04), more rebounds per game (p = 0.04), more steals per game (p = 0.02), and more points per game (p = 0.02). WNBA guards and forward were more likely to tear their ACL, especially while driving to the basket during real game play. Additionally, players with higher playing times, rebounds, and steals per game had higher rates of ACL tears. However, there was no impact on their performance on season statistics after returning to sport.
Level of Evidence III.
Foreign direct investment, total factor productivity, and economic growth: evidence in middle-income countries
Authors: Le Hoa Thanh Phan , Pham Ha , Do Nga Thi Thu , Duong Khoa Dang 
Published: October 2024

AbstractThis study examines the relationship between foreign direct investment and total factor productivity on economic growth in 90 middle-income countries. Because middle-income countries often face particular challenges in achieving sustainable economic development. Investigating how FDI and TFP contribute to or hinder economic growth in these countries can provide insight and help policymakers make policy decisions. We employ the dynamic system Generalized Method of Moments to analyze an unbalanced sample with 2714 annual observations from 1990 to 2020. The empirical results show that a percentage increase in foreign direct investment will increase economic growth in middle-income countries by 9.3%. In addition, Total Factor Productivity also has a positive relationship with economic growth due to improved labor quality and production innovations. Furthermore, the results indicate that Total Factor Productivity empowers the positive nexus between Foreign Direct Investment and economic growth. In addition, the main findings are also robust even though we employ alternative economic growth proxies. These findings support economic growth and industrialization theories but do not support labor market dynamics theories. Finally, this study contributes practical suggestions for sustainable economic development in middle-income countries.
Identifying the antecedents for the green transformation of resource-exhausted cities in China
Authors: Feng Yanchao , Gao Yue , Pan Yuxi 
Published: October 2024

AbstractTo address the issue of green transformation in resource-exhausted cities, this study employs the Policy Modeling Consistency (PMC) index model to carry out a comprehensive analysis of the effectiveness of support policies execution at both central and local levels, covering 16 policies at the different administrative levels. Meanwhile, utilizing the fuzzy-set Qualitative Comparative Analysis (fsQCA) method, the study investigates the interaction mechanisms and effects of various internal and external factors in the context of policy coordination, from the perspective of green transformation condition configurations. The findings reveal that the overall effect of supporting policies for resource-exhausted cities in China is generally commendable. Moreover, there is a notable characteristic that “the lower the administrative level, the higher the quality of the support policies”. Notably, organizational, technological, environmental, and policy conditions alone cannot solely facilitate the green transition of resource-exhausted cities. Instead, it is the harmonious configuration of these antecedents that drives successful green transformation. Additionally, the configuration of antecedent conditions for green transformation exhibits the heterogeneity of different types. Specifically, the eastern region primarily relies on technological innovation and production process improvement, while the central region focuses on both production process improvement and support policy combinations. By contrast, the western region primarily emphasizes support policy combinations and the fostering of environmental conditions. Furthermore, the green transformation of resource-exhausted cities with coal and oil types mainly depends on the combination of policy support and technological innovation. Metal, forestry, and other types of resource-exhausted cities rely on the upgrading and advancement of industrial structures. In the grouped analysis of administrative level, innovation capability, and distance to the provincial capital city, cities with higher administrative levels, higher innovation capabilities, and closer proximity to the provincial capital city are more likely to achieve green transformation. Thereby, this study emphasizes the critical role of support policies and the identification of effective pathways in promoting the green transformation of resource-exhausted cities.
Green hotels visit intention among young adults: integrating the familiarity, novelty, trust, perceived risk, and theory of planned behaviour
Authors: Wang Lei , Zhang Qi , Ye Meng-Jie , Wong Philip Pong Weng , Gong Yue 
Published: October 2024

AbstractPrevious hospitality research typically focuses on consumers’ positive attitudes and intentions toward addressing an existing research gap in the literature on consumer attitude and behaviour in green hotel marketing. Those studies have frequently neglected to investigate the effects of negative attitudes and perspectives. This study aims to explore the relationships between seven indicators of perceived risk, familiarity, novelty, trust, attitude, subjective norm, perceived behavioural control, and intention to visit green hotels. A total of 606 questionnaires were collected and analysed using structural equation modelling. Results showed that perceived risk negatively influences trust, subjective norm, and perceived behavioural control. Familiarity positively influences perceived risk but negatively influences attitude. Novelty negatively influences perceived risk and attitude, while trust positively influences attitude and intention. Subjective norm positively influences attitude, perceived behavioural control, and intention, and attitude influences intention. This study provides an alternative negative factor perspective on green hotel visitation using a theoretically driven approach.