bluuebunny/crossref_metadata_2025_split huggingface dataset:
Primary Ewing’s sarcoma of the uterine cervix: a case report and review of the literature
Authors: Xiao Yuhang , Zhi Yong , Cao Guangxu , Ma Heling , Gao Jinli , Li Fang 
Published: May 2024

Abstract
Background
Ewing’s sarcoma (ES) is an aggressive cancer of bone and soft tissue, most of which tend to occur in the bone. Extraosseous Ewing’s sarcoma (EES) of the cervix is extremely rare.

Case presentation
In the present work, we reported a 39-year-old cervical EES patient with a 2.5*2.1*1.8 cm tumor mass. According to previous literatures, our case is the smallest tumor found in primary cervical ES ever. The patient initially came to our hospital due to vaginal bleeding, and then the gynecological examination found a neoplasm between the cervical canal and partially in the external cervical orifice. The diagnosis of EES was confirmed below: Hematoxylin & Eosin staining (H&E) revealed small round blue malignant cells in biopsy specimens. Immunohistochemistry (IHC) showed the positive staining for CD99, NKX2.2, and FLI1. Disruption of EWSR1 gene was found by fluorescence in situ hybridization (FISH), and the EWSR1–FLI1 gene fusion was determined by next-generation sequencing (NGS). The patient received laparoscopic wide hysterectomy, bilateral adnexectomy, pelvic lymphadenectomy, and postoperative adjuvant chemotherapy and remained disease free with regular follow-up for 1 year.

Conclusions
Through a systematic review of previously reported cervical ES and this case, we highlighted the importance of FISH and NGS for the accuracy of ESS diagnosis, which could assist on the optimal treatment strategy. However, due to the rarity of the disease, there is no standard treatment schemes. Investigation on molecular pathological diagnosis and standardization of treatment regimens for cervical ES are critical to patients’ prognosis.
Monazite and zircon U–(Th–)Pb dating reveals multiple episodes of HT metamorphism in the Cima Lunga unit (Central Alps): implications for the exhumation of high‐pressure rocks
Authors: Corvò Stefania , Maino Matteo , Langone Antonio , Schenker Filippo Luca , Tagliaferri Alessia , Perozzo Michele , Casini Leonardo , Seno Silvio 
Published: May 2024

AbstractHigh- to ultrahigh-pressure (HP–UHP) rocks recording high-temperature (HT) > 700 °C are well exposed in the Central Alps, making it an ideal region to study the timing of metamorphic stages and the mechanisms of deep-seated rocks exhumation. Here, we report an integrated dataset of petrological and U–(Th–)Pb dating of metapelites surrounding ultramafic lenses from the Cima Lunga unit. At the interface with ultramafics preserving (U)HP–HT assemblages (1.5–3.1 GPa, 650–850 °C), metapelites record higher P‒T values (1.3–2.7 GPa, 700–850 °C) and traces of partial melting, whereas the rest of the unit is dominated by amphibolite-facies conditions. U–Th–Pb dating on zircon and monazite from migmatites indicates that partial melting was episodic involving at least two stages at ~38 to 35 Ma and 33–30 Ma, respectively. While the 38–35 Ma stage matches the HP conditions (> 1.5 GPa) and it is recorded around only one lens with scarce volumes of melt, partial melting at 33–30 Ma is witnessed at lower pressure (~1 GPa) and more widely distributed around the lenses, as within the major shear zones. Far from the ultramafics, zircon from the amphibolite-facies metasedimentary rocks record inherited pre-Variscan ages, while monazite ages at ~22 Ma document mineral growth during the Barrovian cooling. Field and petro-chronological evidence highlight that multiple episodes of partial melting locally developed at the rheological interface promoted by the interplay of fluids extracted from the ultramafic lenses associated with shear heating. New evidence suggests that local variation of P‒T equilibria play a significant role during the exhumation history.
Graphical Abstract
Exact Unified Tetraquark Equations
Authors: Blankleider B. , Kvinikhidze A. N. 
Published: May 2024

AbstractRecently we formulated covariant equations describing the tetraquark in terms of an admixture of two-body states $$D{\bar{D}}$$

D

D

¯

(diquark-antidiquark), MM (meson-meson), and three-body-like states where two of the quarks are spectators while the other two are interacting (Phys Rev D 107:094014, 2023). A feature of these equations is that they unify descriptions of seemingly unrelated models of the tetraquark, like, for example, the $$D{\bar{D}}$$

D

D

¯

model of the Moscow group (Faustov et al. in Universe 7:94, 2021) and the coupled channel $$D {\bar{D}}-MM$$

D

D

¯

-
M
M

model of the Giessen group (Heupel et al. in Phys Lett B718:545, 2012). Here we extend these equations to the exact case where $$q\bar{q}$$

q

q

¯

annihilation is incorporated explicitly, and all previously neglected terms (three-body forces, non-pole contributions to two-quark t matrices, etc.) are taken into account through the inclusion of a single $$q\bar{q}$$

q

q

¯

potential $$\Delta $$
Δ
.
“The ChatGPT bot is causing panic now – but it’ll soon be as mundane a tool as Excel”: analysing topics, sentiment and emotions relating to ChatGPT on Twitter
Authors: Heaton Dan , Clos Jeremie , Nichele Elena , Fischer Joel E. 
Published: May 2024

AbstractChatGPT, a sophisticated chatbot system by OpenAI, gained significant attention and adoption in 2022 and 2023. By generating human-like conversations, it attracted over 100 million monthly users; however, there are concerns about the social impact of ChatGPT, including panic, misinformation and ethics. Twitter has become a platform for expressing views on ChatGPT and popular NLP approaches like topic modelling, sentiment analysis and emotion detection are commonly used to study public discourses on Twitter. While these approaches have limitations, an analytical process of existing best practices captures the evolving nature of these views. Previous studies have examined early reactions and topics associated with ChatGPT on Twitter but have not fully explored the combination of topics, sentiment and emotions, nor have they explicitly followed existing best practices. This study provides an overview of the views expressed on Twitter about ChatGPT by analysing 88,058 tweets from November 2022 to March 2023 to see if panic and concern were replicated in Twitter discourses. The topics covered human-like text generation, chatbot development, writing assistance, data training, efficiency, impact on business and cryptocurrency. Overall, the sentiment was predominantly positive, indicating that concerns surrounding ChatGPT were not widely replicated. However, sentiment fluctuated, with a decline observed around the launch of ChatGPT Plus. The discourse saw consistent patterns of trust and fear, with trust maintaining a steady presence until a decline potentially influenced by concerns about biases and misinformation. We discuss how our findings build upon existing research regarding ChatGPT by providing trajectories of topics, sentiment and emotions.
Adjunctive use of hyaluronic acid in the treatment of gingival recessions: a systematic review and meta-analysis
Authors: Kalimeri Eleni , Roccuzzo Andrea , Stähli Alexandra , Oikonomou Ilias , Berchtold Aaron , Sculean Anton , Kloukos Dimitrios 
Published: May 2024

Abstract
Objectives
To explore the efficacy of Hyaluronic acid as an adjunctive in treatment of gingival recessions (GR).

Materials and methods
A systematic literature search was performed in several electronic databases, including Medline/ PubMed, Embase, CENTRAL and LILACS. Recession improvement was evaluated through multiple outcome variables. The Cochrane Risk of Bias tool and the ROBINS-I tool were used to assess the quality of the included trials. Weighted Mean Differences (WMDs) and 95% confidence intervals (CIs) between test and control sites were estimated through meta-analysis using a random-effect model for the amount of Relative Root Coverage (RRC).

Results
A total of 3 randomised studies were deemed as eligible for inclusion. Their data were also used for pooling the effect estimates. Overall analysis of RRC (3 studies) presented a WMD of 7.49% (p = 0.42; 95% CIs -10.88, 25.86) in favour of adjunctive use of hyaluronic acid during Coronally Advanced Flap (CAF) technique, although statistical significance was not reached. Statistical heterogeneity was found to be high (I2 = 80%).

Conclusions
Within their limitations, the present data indicate that the local application of Hyaluronic acid does not lead to additional clinical benefits when used as an adjunctive to the treatment of GR with CAF. However, due to the high heterogeneity among the studies, additional well-designed RCTs are needed to provide further evidence on this clinical indication for the use of Hyaluronic acid.

Clinical relevance
In the frame of the current review, the adjunctive use of Hyaluronic acid does not additionally improve the clinical outcomes obtained during treatment of GR with CAF.
Risk of infective endocarditis and complicated infection in Staphylococcus aureus bacteremia – a retrospective cohort study on the role of bacteriuria
Authors: Bergenman Oskar , Nilson Bo , Rasmussen Magnus 
Published: May 2024

Abstract
Purpose
S. aureus bacteremia (SAB) is a common and severe infection with high mortality and morbidity. The clinical relevance of the finding of concurrent S. aureus bacteriuria (SABU) is debated. The goal of this study was to analyze whether a concurrent SABU is associated with complicated SAB, infective endocarditis (IE) and mortality.

Methods
We conducted a retrospective cohort study, reviewing medical charts of all episodes of SAB in patients > 18 years in the region of Skåne, Sweden, between 1st of January and 31st of June 2020. Episodes where a concurrent urine culture was performed were included for analysis. An episode was considered as complicated SAB if there was either attributable mortality, recurrent infection, embolic stroke, or occurrence of a complicated focus of infection.

Results
During the study period, there were 279 episodes of SAB. 154 episodes met the eligibility criteria, of whom 37 (24%) had concurrent SABU. In 78 episodes (51%), the patients had a complicated SAB. There was a significantly lower proportion of complicated SAB for episodes with concurrent SABU (32%), compared to episodes without concurrent SABU (56%), p-value 0.014. Moreover, in the cohort there were 11 episodes (7.1%) of IE and a 30 days mortality rate of 16%, with no difference between the groups with or without SABU.

Conclusions
There is an association between concurrent SABU and a decreased risk for complicated SAB among patients with SAB. This study found no significant association between SABU and neither IE nor mortality for patients with SAB.
Phosphorus mass flows and economic benefits of food waste management: the case study of selected retail and wholesale fresh markets in Thailand
Authors: Mokjatturas Sunatthiya , Chinwetkitvanich Sopa , Patthanaissaranukool Withida , Polprasert Chongchin , Polprasert Supawadee 
Published: May 2024

Abstract
This study aims to investigate the mass flow and the phosphorus flow of food waste in order to propose a viable technique for its recovery from food waste in retail and wholesale fresh markets. These markets are significant food waste sources, including valuable elements such as organic carbon, nitrogen, and phosphorus. This research provides critical data that can inform and guide the development of sustainable and cost-effective waste management strategies. The results indicate that retail markets generate 13.47 tons/d of food waste, while wholesale markets produce a staggering 192.62 tons/d. For phosphorus flow analysis, the data show that retail markets produce 12.80 kg P/d, while wholesale markets produce 40.79 kg P/d. Uncooked food waste is a major cause of phosphorus loss in retail and wholesale markets. An estimated 3.65 kg P/d is lost from retail and 20.72 kg P/d from wholesale. Separating food waste from general waste and recovering the phosphorus content is essential to reduce P loss. According to this study, separating food waste and selling it as animal feed (Scenario 1) or using it to create organic fertilizer (Scenario 2) are more profitable than the current waste management practice. These options can generate around 180,000 and 960,000 USD/year, respectively. Currently, it is not cost-effective to produce concentrated P fertilizer (scenario 3) due to the high energy and technology required. The study’s results can guide policymakers toward comprehensive food waste management in fresh markets and sustainable phosphorus recovery for food and agricultural production.

Graphical abstract
Regeneration of periodontal intrabony defects using platelet-rich fibrin (PRF): a systematic review and network meta-analysis
Authors: Silva Fábio França Vieira e , Chauca-Bajaña Luis , Caponio Vito Carlo Alberto , Cueva Kareelend Andreina Segura , Velasquez-Ron Byron , Padín-Iruegas Maria Elena , Almeida Lays Lamolha , Lorenzo-Pouso Alejandro Ismael , Suárez-Peñaranda José Manuel , Pérez-Sayáns Mario 
Published: May 2024

AbstractOne of the most promising approaches to correct periodontal bone defects and achieve periodontal regeneration is platelet-rich fibrin (PRF). This systematic review and meta-analysis aimed to evaluate the regeneration of periodontal bone defects using PRF compared to other regenerative treatments. The data search and retrieval process followed the PRISMA guidelines. An electronic search of MEDLINE, Cochrane, and PubMed databases was performed, selecting exclusively randomized clinical trials where the following were measured: probing depth reduction (PD), clinical attachment level gain (CAL), and radiographic bone fill (RBF). Out of 284 selected articles, 32 were chosen based on inclusion criteria. The use of platelet-rich fibrin (PRF) + open flap debridement (OFD), PRF + metformin, PRF + platelet-rich plasma (PRP), and PRF + OFD/bone graft (BG) significantly reduced PD and improved CAL and RBF. However, the combination of PRF + BG, PRF + metformin, and PRF + STATINS reduced CAL. The intervention of PRF combined with different treatments such as metformin, OFD, PRP, BG, and STATINS has a significant impact on improving PD and CAL. The use of PRF significantly improved the regeneration of periodontal bone defects compared to other treatments.
Ungewöhnlich und unerwartet positive Spontanverläufe langjährig therapieresistenter Epilepsien Erwachsener
Authors: Steinhoff Bernhard J. 
Published: May 2024

ZusammenfassungDie Prognose langjährig therapieresistent verlaufender Epilepsien Erwachsener ist üblicherweise schlecht, sieht man von kurativen Verfahren wie Epilepsiechirurgie einmal ab. Gerne neigen wir bei doch positiven Verläufen dazu, diese mit unseren therapeutischen Maßnahmen zu erklären und als Erfolge zu verbuchen. Das kann, muss aber nicht richtig sein. In dieser Arbeit werden stellvertretend für das Gebot, die Bedeutung des eigenen Handelns nicht überzubewerten, 3 eigene und seit vielen Jahren persönlich betreute Patientinnen und Patienten vorgestellt, die nach vielen Jahren frustraner Epilepsieverläufe anfallsfrei wurden und über viele Jahre auch geblieben sind, ohne dass im Mindesten erkennbar wäre, dass eine der eigenen therapeutischen Maßnahmen hierzu beigetragen hätte.
Rapid conversion of carbon dioxide into titanium carbide by atmospheric microwave plasma
Authors: Khotmungkhun Kittikhun , Kleebbua Peeratchai , Chotiyasilp Arkorn , Waritanant Tanant , Atithep Thassanant , Junpha Jedsada , Subannajui Kittitat 
Published: May 2024

AbstractThe accelerating climate warming requires fast methods to reduce atmospheric carbon dioxide levels. Here, we converted carbon dioxide into titanium carbide using four magnetrons which were sequentially operated to emit microwave on titanium swarf. Carbon dioxide molecules dissociated in the plasma to react with ionized titanium atoms to form a stable titanium carbide product, using a microwave frequency is 2.3 gigahertz and 800 watts electrical power for each magnetron. Results show a reduction of carbon dioxide concentration from 2000 to 385 ppm within 30 s. Titanium carbide could be further functionalized as a three-dimensional printed gas sensor.
Artificial intelligence and machine learning for the optimization of pharmaceutical wastewater treatment systems: a review
Authors: Ganthavee Voravich , Trzcinski Antoine Prandota 
Published: May 2024

AbstractThe access to clean and drinkable water is becoming one of the major health issues because most natural waters are now polluted in the context of rapid industrialization and urbanization. Moreover, most pollutants such as antibiotics escape conventional wastewater treatments and are thus discharged in ecosystems, requiring advanced techniques for wastewater treatment. Here we review the use of artificial intelligence and machine learning to optimize pharmaceutical wastewater treatment systems, with focus on water quality, disinfection, renewable energy, biological treatment, blockchain technology, machine learning algorithms, big data, cyber-physical systems, and automated smart grid power distribution networks. Artificial intelligence allows for monitoring contaminants, facilitating data analysis, diagnosing water quality, easing autonomous decision-making, and predicting process parameters. We discuss advances in technical reliability, energy resources and wastewater management, cyber-resilience, security functionalities, and robust multidimensional performance of automated platform and distributed consortium, and stabilization of abnormal fluctuations in water quality parameters.
Optimal dynamic climate adaptation pathways: a case study of New York City
Authors: Truong Chi , Malavasi Matteo , Li Han , Trück Stefan , Shevchenko Pavel V. 
Published: May 2024

AbstractAssessing climate risk and its potential impacts on our cities and economies is of fundamental importance. Extreme weather events, such as hurricanes, floods, and storm surges can lead to catastrophic damages. We propose a flexible approach based on real options analysis and extreme value theory, which enables the selection of optimal adaptation pathways for a portfolio of climate adaptation projects. We model the severity of extreme sea level events using the block maxima approach from extreme value theory, and then develop a real options framework, factoring in climate change, sea level rise uncertainty, and the growth in asset exposure. We then apply the proposed framework to a real-world problem, considering sea level data as well as different adaptation investment options for New York City. Our research can assist governments and policy makers in taking informed decisions about optimal adaptation pathways and more specifically about reducing flood and storm surge risk in a dynamic settings.
Enhanced migrating birds optimization algorithm for optimization problems in different domains
Authors: Algin Ramazan , Alkaya Ali Fuat , Agaoglu Mustafa 
Published: May 2024

AbstractMigrating birds optimization algorithm is a promising metaheuristic algorithm recently introduced to the optimization community. In this study, we propose a superior version of the migrating birds optimization algorithm by hybridizing it with the simulated annealing algorithm which is one of the most popular metaheuristics. The new algorithm, called MBOx, is compared with the original migrating birds optimization and four well-known metaheuristics, including the simulated annealing, differential evolution, genetic algorithm and recently proposed harris hawks optimization algorithm. The extensive experiments are conducted on problem instances from both discrete and continuous domains; feature selection problem, obstacle neutralization problem, quadratic assignment problem and continuous functions. On problems from discrete domain, MBOx outperforms the original MBO and others by up to 20.99%. On the continuous functions, it is observed that MBOx does not lead the competition but takes the second position. As a result, MBOx provides a significant performance improvement and therefore, it is a promising solver for computational optimization problems.
Massive decline of invasive apple snail populations after blue crab invasion in the Ebro River, Spain
Authors: Céspedes Vanessa , Bernardo-Madrid Rubén , Picazo Félix , Vilà Montserrat , Rubio Cristóbal , García María , Sanz Ismael , Gallardo Belinda 
Published: May 2024

AbstractThe negative interaction between multiple invasive species, when an invasive predator benefits from a previously introduced and abundant prey, poses unanticipated challenges for the joint management of invaders. To illustrate this question, we describe the surge and collapse of the invasive apple snail Pomacea maculata population before and after the arrival of the invasive blue crab, Callinectes sapidus, in the Ebro River (NE Spain). These two invaders have coincided for the first time beyond their respective native and prior invasive ranges, and thus lack any previous shared eco-evolutionary history facilitating coexistence. We leverage data from a 9-year apple snail removal programme (2014–2022) conducted by authorities to evaluate the effectiveness of the management programme and describe the apple snail temporal dynamics in the Ebro River. Since its arrival in 2013, the apple snail population increased exponentially along the river and adjacent rice-fields despite labour-intensive eradication efforts. Unexpectedly, riverine populations of the apple snail declined by 90% in 2018 relative to the prior year without apparent association with previous management efforts. Simultaneously, the blue crab was first recorded in the Ebro River in 2018, and its distribution rapidly overlapped the whole area invaded by apple snails. We suggest that over-predation by the blue crab is the main cause of the decline observed in the apple snail, and discuss the implications of this new invader-invader interaction for management. This study underscores the unforeseen consequences of subsequent waves of invasion, and the importance of supporting management with a deeper understanding of ecological interactions among invasive predator and prey species.
Assessment of efficacy and safety of dose-dense doxorubicin and cyclophosphamide (ddAC) in combination with immunotherapy in early-stage triple-negative breast cancer
Authors: White Olivia , Dent Susan , Westbrook Kelly , Lee Hui-Jie , Yang Chengxin , Moore Heather N. 
Published: May 2024

Abstract
Purpose
This study aimed to assess safety and efficacy of a modified KEYNOTE 522 protocol, which incorporated pembrolizumab every 6 weeks, allowing for concomitant dose-dense (14 day) doxorubicin and cyclophosphamide (ddAC). By optimizing this dosing, the intention of this modified protocol was to improve pathologic complete response (pCR) rates in a population associated with a poorer prognosis.

Methods
This was a retrospective, single-center, cohort study. Patients were included if they had early stage, triple-negative breast cancer, and received at least one dose of AC. The entire cohort received neoadjuvant chemotherapy including weekly carboplatin and paclitaxel with pembrolizumab every 3 weeks for 12 weeks (4 cycles). The group then received either ddAC with pembrolizumab 400 mg every 6 weeks, or AC with pembrolizumab 200 mg every 3 weeks. The primary objective was pCR rate at time of surgery.

Results
This study assessed outcomes in 25 patients over 34 months. The pCR rate in the pembrolizumab, AC 3-week cohort was 64.3% versus 81.8% in the ddAC and 6-week pembrolizumab group. No pembrolizumab-associated grade 3–4 adverse events occurred in the either cohort. Despite seeing an increased incidence of grade 3–4 toxicities in the ddAC arm, this did not result in additional chemotherapy delays or dose reductions.

Conclusion
This study demonstrated tolerability and a potential for favorable outcomes with this patient population, making this modified KEYNOTE 522 protocol a reasonable treatment approach. Larger, prospective studies are warranted to assess the feasibility of this dosing and true optimization of patient outcomes given the small sample size of this study.