bluuebunny/crossref_metadata_2025_split huggingface dataset:
The efficacy of machine learning models in forecasting treatment failure in thoracolumbar burst fractures treated with short-segment posterior spinal fixation
Authors: Khaledian Neda , Bagheri Seyed Reza , Sharifi Hasti , Alimohammadi Ehsan 
Published: April 2024

Abstract
Background
Although short-segment posterior spinal fixation (SSPSF) has shown promising clinical outcomes in thoracolumbar burst fractures, the treatment may be prone to a relatively high failure rate. This study aimed to assess the effectiveness of machine learning models (MLMs) in predicting factors associated with treatment failure in thoracolumbar burst fractures treated with SSPSF.

Methods
A retrospective review of 332 consecutive patients with traumatic thoracolumbar burst fractures who underwent SSPSF at our institution between May 2016 and May 2023 was conducted. Patients were categorized into two groups based on treatment outcome (failure or non-failure). Potential risk factors for treatment failure were compared between the groups. Four MLMs, including random forest (RF), logistic regression (LR), support vector machine (SVM), and k-nearest neighborhood (k-NN), were employed to predict treatment failure. Additionally, LR and RF models were used to assess factors associated with treatment failure.

Results
Of the 332 included patients, 61.4% were male (n = 204), and treatment failure was observed in 44 patients (13.3%). Logistic regression analysis identified Load Sharing Classification (LSC) score, lack of index level instrumentation, and interpedicular distance (IPD) as factors associated with treatment failure (P < 0.05). All models demonstrated satisfactory performance. RF exhibited the highest accuracy in predicting treatment failure (accuracy = 0.948), followed by SVM (0.933), k-NN (0.927), and LR (0.917). Moreover, the RF model outperformed other models in terms of sensitivity and specificity (sensitivity = 0.863, specificity = 0.959). The area under the curve (AUC) for RF, LR, SVM, and k-NN was 0.911, 0.823, 0.844, and 0.877, respectively.

Conclusions
This study demonstrated the utility of machine learning models in predicting treatment failure in thoracolumbar burst fractures treated with SSPSF. The findings support the potential of MLMs to predict treatment failure in this patient population, offering valuable prognostic information for early intervention and cost savings.
Novel molecular typing reveals the risk of recurrence in patients with early-stage papillary thyroid cancer
Authors: Sun Mingyu , Zhao Bingqing , Chen Tao , Yao Lijun , Li Xiaoxin , Hu Shaojun , Chen Chengling , Gao Xinbao , Tang Chuangang 
Published: April 2024

Abstract
Background
Papillary thyroid cancer (PTC) is an indolent disease with a favorable prognosis but characterized by a high recurrence rate. We aimed to improve precise stratification of recurrence risk in PTC patients with early stage using multi-gene signatures.

Patients and methods
The present study was performed using data from The Cancer Genome Atlas (TCGA) and multi-center datasets. Unsupervised consensus clustering was used to obtain the optimal molecular subtypes and least absolute shrinkage and selection operator (LASSO) analysis was performed to identify potential genes for the construction of recurrence signature. Kaplan-Meier survival analysis and the log-rank test was used to detect survival differences. Harrells concordance index (C-index) was used to assess the performance of the DNA damage repair (DDR) recurrence signature.

Results
Through screening 8 candidate gene sets, the entire cohort was successfully stratified into two recurrence-related molecular subtypes based on DDR genes: DDR-high subtype and DDR-low subtype. The recurrence rate of DDR-high subtype was significantly lower than DDR-low subtype [HR = 0.288 (95%CI, 0.084–0.986), P = 0.047]. Further, a two-gene DDR recurrence signature was constructed, including PER1 and EME2. The high-risk group showed a significantly worse recurrence-free survival (RFS) than the low-risk group [HR = 10.647 (95%CI, 1.363–83.197), P = 0.024]. The multi-center data demonstrated that proportion of patients with low expression of PER1 and EME2 was higher in the recurrence group than those in the non-recurrence group.

Conclusions
These findings could help accurately and reliably identify PTC patients with high risk of recurrence so that they could receive more radical and aggressive treatment strategies and more rigorous surveillance practices.
Neutrophil percentage-to-albumin ratio is a new diagnostic marker for spontaneous bacterial peritonitis: a prospective multicenter study
Authors: Mousa Nasser , salah Mohamed , Elbaz Sherif , Elmetwalli Alaa , Elhammady Amr , Abdelkader Eman , Abdelsalam Mostafa , El-wakeel Niveen , Mansour Marwa , Hashem Manal , El-Emam Ola , Elderiny Wesam , Abdelaziz Mohammed , Elgamal Ayman , Habib Alaa 
Published: April 2024

Abstract
Background
The neutrophil percentage-to-albumin ratio (NPAR) is a novel measure of systemic inflammation and infection. Low albumin levels increase the risk of infection, while high neutrophil counts indicate the presence of infection. Spontaneous bacterial peritonitis (SBP) is a serious infection in cirrhotic ascites, and the potential of NPAR in diagnosing SBP is not yet established.

Objective
The objective of this study is to determine the diagnostic value of NPAR in identifying SBP.

Patients
This prospective multicenter study included 465 patients diagnosed with cirrhotic ascites and SBP according to international guidelines. Demographic, clinical, and laboratory data were collected. The sensitivity and specificity of NPAR values for diagnosing SBP were assessed using the receiver operating characteristic curve.

Results
For SBP diagnosis in the total cohort, NPAR of > 17 had a sensitivity of 85.71%, specificity of 66.67%, and 95% CI (42.1–99.6). In culture-positive SBP, the NPAR at a cut-off > 5.2 had a sensitivity of 85.71%, specificity of 83.33%, and 95% CI (0.709 to 0.979), while in culture-negative SBP, the NPAR at a cut-off > 2.1 had a sensitivity of 92.86%, specificity of 33.33% and CI (0.367 to 0.764). The multivariate analysis revealed that albumin (OR = 2.78, [1.11;3.98], INR (OR = 0.198, [0.066;0.596], creatinine (OR = 0.292, [0.1; 0.81], CRP (OR = 3.18, [1.239;4.52] total leukocytic count (TLC) (OR = 1.97, [1.878; 2.07], platelets (OR = 2.09, [0.99; 2.31] and neutrophil (OR = 3.43, [1.04;3.89] were significantly associated with higher prediction rates for culture positive SBP.

Conclusions
NPAR could be a new, affordable, noninvasive test for diagnosing SBP.
Solution of a nonlinear fractional-order initial value problem via a $\mathscr{C}^{*}$-algebra-valued $\mathcal{R}$-metric space
Authors: Janardhanan Gopinath , Mani Gunaseelan , Michael Edwin Antony Raj , Thabet Sabri T. M. , Kedim Imed 
Published: April 2024

AbstractIn this article, we prove new common fixed-point theorems on a $\mathscr{C}^{*}$

C
∗

-algebra-valued $\mathcal{R}$
R
-metric space. An example is given based on our obtained results. To enhance our results, a strong application based on the fractional-order initial value problem is provided.
Perceptions and engagement of patients with chronic conditions on the use of medical cannabis: a scoping review
Authors: Pomey Marie-Pascale , Jutras-Aswad Didier , Paquette Jesseca , Saadi Kamilla , Taguemout Mélissa , Ikene Dina-Liza , Arbour Nathalie , Zertal Amel , Fréjeau Nathalie , Morin Danielle , Ouellette Jean-Sylvain , Alami Marrouni Kanza , Duquette Pierre 
Published: April 2024

Abstract
Context
Studies generally focus on one type of chronic condition and the effect of medical cannabis (MC) on symptoms; little is known about the perceptions and engagement of patients living with chronic conditions regarding the use of MC.

Objectives
This scoping review aims to explore: (1) what are the dimensions addressed in studies on MC that deal with patients' perceptions of MC? and (2) how have patients been engaged in developing these studies and their methodologies? Through these objectives, we have identified areas for improving future research.

Methods
We searched five databases and applied exclusion criteria to select relevant articles. A thematic analysis approach was used to identify the main themes: (1) reasons to use, to stop using or not to use MC, (2) effects of MC on patients themselves and empowerment, (3) perspective and knowledge about MC, and (4) discussion with relatives and healthcare professionals.

Results
Of 53 articles, the main interest when assessing the perceptions of MC is to identify the reasons to use MC (n = 39), while few articles focused on the reasons leading to stop using MC (n = 13). The majority (85%) appraise the effects of MC as perceived by patients. Less than one third assessed patients’ sense of empowerment. Articles determining the beliefs surrounding and knowledge of MC (n = 41) generally addressed the concerns about or the comfort level with respect to using MC. Only six articles assessed patients’ stereotypes regarding cannabis. Concerns about stigma constituted the main topic while assessing relationships with relatives. Some articles included patients in the research, but none of them had co-created the data collection tool with patients.

Conclusions
Our review outlined that few studies considered chronic diseases as a whole and that few patients are involved in the co-construction of data collection tools as well. There is an evidence gap concerning the results in terms of methodological quality when engaging patients in their design. Future research should evaluate why cannabis’ effectiveness varies between patients, and how access affects the decision to use or not to use MC, particularly regarding the relationship between patients and healthcare providers. Future research should consider age and gender while assessing perceptions and should take into consideration the legislation status of cannabis as these factors could in fact shape perception. To reduce stigma and stereotypes about MC users, better quality and accessible information on MC should be disseminated.
Zero hunger: future challenges and the way forward towards the achievement of sustainable development goal 2
Authors: Sporchia Fabio , Antonelli Marta , Aguilar-Martínez Alicia , Bach-Faig Anna , Caro Dario , Davis Kyle F. , Sonnino Roberta , Galli Alessandro 
Published: April 2024

AbstractSince 2020, the progress towards the achievement of Sustainable Development Goal (SDG) 2– Zero Hunger has faced a sudden stall due to an ongoing “polycrisis”. While some countries are on track, a great effort is still globally necessary to achieve the SDG2 targets. Here we provide a brief background about SDG2, including its synergies and trade-offs with other SDGs. We then identify and discuss the main challenges that the pathway towards zero hunger will have to tackle. The lack of a systemic approach, together with the complex, global, and nested dimensions of food systems are identified as key elements to be carefully considered when designing sustainability strategies. This means that a variety of stakeholders are called to simultaneously and cooperatively act on multiple fronts to ensure a safe, equal, and just progress of all countries and populations towards the achievement of SDG2.
How a multidimensional ecology education approach can enhance college curricula to implement the United Nations Sustainable Development Goals
Authors: Klemow Kenneth M. , Cid Carmen R. , Jablonski Leanne M. , Haas Don A. 
Published: April 2024

AbstractSustainability, i.e., effective management of natural resources to maintain ecological balance, is taught in formal post-secondary and nonformal education for students of all ages, but is often left out of the basic college and university life sciences coursework. To achieve the United Nations’ 2015 Sustainable Development Goals (SDGs) we must provide students with ecological knowledge and skills to enhance sustainability. Beginning in 2014, Ecological Society of America (ESA) educators developed an integrated, four-dimensional curricular framework (Core Ecological Concepts, Ecological Practices, Cross-Cutting Themes, and Human-Environment Interactions) (4DEE) to generate ecologically literate college students. Here we investigated all possible connections between 4DEE and the SDGs, to determine whether instructors could teach both in context of one another - to the betterment of both sustainability and ecology education. Analysis of the subcomponents of 4DEE arrayed against the Targets in SDGs 13 - Climate Action, 14 - Life Below Water, and 15 - Life on Land, revealed good to strong SDGs connections to each of the 4DEE dimensions. Curricula following the 4DEE approach can better address the SDGs. By integrating this multidimensional framework and connections to the SDGs and their Targets in our classroom, lab, and field experiences on and off campus, educators can help form the next generation of teachers, workers, policymakers, and citizens in ecological literacy and responsible sustainable decision-making. Applying the multidimensional thinking and training of the ESA 4DEE with interdisciplinary collaborations in our institutions and off-campus community partnerships will increase both the ecological literacy and SDG-literacy of present and future generations.
Scientific highlights of the 9th ESWI Influenza Conference
Authors: Reperant Leslie , Russell Colin A. , Osterhaus Albert 
Published: April 2024

AbstractThe European Scientific Working Group on Influenza (ESWI) held the 9th ESWI Influenza Conference in Valencia from 17—20 September 2023. Here we provide a summary of twelve key presentations, covering major topics on influenza virus, respiratory syncytial virus (RSV) and SARS coronavirus 2 (SARS-CoV-2) including: infection processes beyond acute respiratory disease, long COVID, vaccines against influenza and RSV, the implications of the potential extinction of influenza B virus Yamagata lineage, and the threats posed by zoonotic highly pathogenic avian influenza viruses.
The cytotoxicity effect and identification of bioactive compounds of Prismatomeris glabra crude leaf extracts against breast cancer cells
Authors: Zulkipli Ninie Nadia , Rahman Sholehah Ab , Taib Wan Rohani Wan , Razali Razifah Mohd , Ismail Illyana , Ahmad Wan Amir Nizam Wan , Daud Che Ku Dahlan Che Ku 
Published: April 2024

Abstract
Background
Despite the fact that natives of Southeast Asia have been consuming Prismatomeris glabra for decades for a variety of health benefits, research on this species is not as extensive as that on other species due to its limited distribution. The purpose of this study was to determine the cytotoxicity and identify the bioactive compounds of P. glabra crude leaf extracts against the MCF-7 cell line.

Results
We first examined the potential cytotoxic activity of P. glabra using the MTT assay against the MCF-7 cell line to determine the IC50 of the plant extracts at various concentrations at three time points (24 h, 48 h, and 72 h). Across all time points, the MTT assay revealed that the aqueous extract exhibited the lowest IC50 values (p < 0.05) compared to the ethanol and methanol extracts. All plant extracts exerted the ability to induce cell death in the MCF-7 cell line at all time points, and the optimal time for P. glabra to manifest its antiproliferative activities and promote cell death was 48 h. LC–MS analysis was conducted to reveal the components in plant extracts. Forty compounds were discovered in P. glabra's extracts, with the majority being flavonoids and triterpenoids. Five similar compounds were present in all three extracts. Further research should be conducted on these compounds to unveil a compound that fulfils the criteria as a promising anticancer agent. This research is of the utmost importance, as it provides a fundamental framework for the identification of alternative therapies for breast cancer and contributes implicitly to the development of new drugs.

Conclusions
This study discovered that P. glabra crude leaf extracts have the potential to inhibit the MCF-7 cell line by inducing cell death.
Targeting NAD+ Metabolism: Preclinical Insights into Potential Cancer Therapy Strategies
Authors: Mogol Ayça N , Kaminsky Alanna Z , Dutton David J , Madak Erdogan Zeynep 
Published: April 2024

Abstract
NAD+ is one of the most important metabolites for cellular activities, and its biosynthesis mainly occurs through the salvage pathway using the nicotinamide phosphoribosyl transferase (NAMPT) enzyme. The main nicotinamide adenine dinucleotide (NAD) consumers, poly-ADP-ribose-polymerases and sirtuins enzymes, are heavily involved in DNA repair and chromatin remodeling. Since cancer cells shift their energy production pathway, NAD levels are significantly affected. NAD's roles in cell survival led to the use of NAD depletion in cancer therapies. NAMPT inhibition (alone or in combination with other cancer therapies, including endocrine therapy and chemotherapy) results in decreased cell viability and tumor burden for many cancer types. Many NAMPT inhibitors (NAMPTi) tested before were discontinued due to toxicity; however, a novel NAMPTi, KPT-9274, is a promising, low-toxicity option currently in clinical trials.
Successful Treatment of Bexarotene-Induced Central Hypothyroidism
Authors: Tucci Marissa , Galagan Robert , Lovre Dragana 
Published: April 2024

Abstract
The synthetic retinoid bexarotene (BXT), used in the treatment of cutaneous T-cell lymphoma (CTCL), has been associated with central hypothyroidism due to suppression of thyrotropin (TSH) secretion and upregulation of peripheral thyroxine (T4) and triiodothyronine (T3) metabolism. We present a case of a 41-year-old man with CTCL who developed central hypothyroidism within 1 month of receiving BXT. He required sequential uptitration of levothyroxine (LT4) over 15 months, and free T4 (FT4) and total T3 levels were normalized by a daily regimen of LT4 600 mcg and liothyronine (LT3) 15 mcg. While almost all patients regain normal hypothalamic-pituitary-thyroid axis function after cessation of BXT, there are limited data regarding LT4 and LT3 dosing required to adequately treat central hypothyroidism in patients on BXT. Our patient required an LT4 dose approximately 2.8 times the calculated weight-based dose and LT3 supplementation, demonstrating a large LT4/LT3 combination dose may be required to compensate for BXT-induced central hypothyroidism.
Submodular Order Functions and Assortment Optimization
Authors: Udwani Rajan 
Published: April 2024

We define a new class of set functions that, in addition to being monotone and subadditive, also admit a very limited form of submodularity defined over a permutation of the ground set. We refer to this permutation as a submodular order. This class of functions includes monotone submodular functions as a subfamily. We give fast algorithms with strong approximation guarantees for maximizing submodular order functions under a variety of constraints and show a nearly tight upper bound on the highest approximation guarantee achievable by algorithms with polynomial query complexity. Applying this new notion to the problem of constrained assortment optimization in fundamental choice models, we obtain new algorithms that are both faster and have stronger approximation guarantees (in some cases, first algorithm with constant factor guarantee). We also show an intriguing connection to the maximization of monotone submodular functions in the streaming model, where we recover best known approximation guarantees as a corollary of our results. This paper was accepted by Chung Piaw Teo, optimization. Funding: This work was supported by the NSF Division of Civil, Mechanical, and Manufacturing Innovation [Grant 2340306] and Google Research Scholar Program. Supplemental Material: The online appendices are available at https://doi.org/10.1287/mnsc.2021.04108 .
Cemented dual-mobility constructs in uncemented revision acetabular components
Authors: Wilson Jacob M. , Trousdale Robert T. , Bedard Nicholas A. , Lewallen David G. , Berry Daniel J. , Abdel Matthew P. 
Published: April 2024

AimsDislocation remains a leading cause of failure following revision total hip arthroplasty (THA). While dual-mobility (DM) bearings have been shown to mitigate this risk, options are limited when retaining or implanting an uncemented shell without modular DM options. In these circumstances, a monoblock DM cup, designed for cementing, can be cemented into an uncemented acetabular shell. The goal of this study was to describe the implant survival, complications, and radiological outcomes of this construct.MethodsWe identified 64 patients (65 hips) who had a single-design cemented DM cup cemented into an uncemented acetabular shell during revision THA between 2018 and 2020 at our institution. Cups were cemented into either uncemented cups designed for liner cementing (n = 48; 74%) or retained (n = 17; 26%) acetabular components. Median outer head diameter was 42 mm. Mean age was 69 years (SD 11), mean BMI was 32 kg/m2 (SD 8), and 52% (n = 34) were female. Survival was assessed using Kaplan-Meier methods. Mean follow-up was two years (SD 0.97).ResultsThere were nine cemented DM cup revisions: three for periprosthetic joint infection, three for acetabular aseptic loosening from bone, two for dislocation, and one for a broken cup-cage construct. The two-year survivals free of aseptic DM revision and dislocation were both 92%. There were five postoperative dislocations, all in patients with prior dislocation or abductor deficiency. On radiological review, the DM cup remained well-fixed at the cemented interface in all but one case.ConclusionWhile dislocation was not eliminated in this series of complex revision THAs, this technique allowed for maximization of femoral head diameter and optimization of effective acetabular component position during cementing. Of note, there was only one failure at the cemented interface.Cite this article: Bone Joint J 2024;106-B(4):352–358.
Obesity-related indicators and tuberculosis: A Mendelian randomization study
Authors: Cai Nuannuan , Luo Weiyan , Ding Lili , Chen Lijin , Huang Yuanjiang 
Published: April 2024

Purpose
Obesity is a strong risk factor for many diseases, with controversy regarding the cause(s) of tuberculosis (TB) reflected by contradictory findings. Therefore, a larger sample population is required to determine the relationship between obesity and TB, which may further inform treatment.

Methods
Obesity-related indicators and TB mutation data were obtained from a genome-wide association study database, while representative instrumental variables (IVs) were obtained by screening and merging. Causal relationships between exposure factors and outcomes were determined using two-sample Mendelian randomization (MR) analysis. Three tests were used to determine the representativeness and stability of the IVs, supported by sensitivity analysis.

Results
Initially, 191 single nucleotide polymorphisms were designated as IVs by screening, followed by two-sample MR analysis, which revealed the causal relationship between waist circumference [odds ratio (OR): 2.13 (95% confidence interval (CI): 1.19–3.80); p = 0.011] and TB. Sensitivity analysis verified the credibility of the IVs, none of which were heterogeneous or horizontally pleiotropic.

Conclusion
The present study determined the causal effect between waist circumference and TB by two-sample MR analysis and found both to be likely to be potential risk factors.