bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the Quantum Spectral Curve for AdS3/CFT2
Authors: Cavaglià Andrea , Ekhammar Simon , Gromov Nikolay , Ryan Paul 
Published: December 2023

AbstractDespite the rich and fruitful history of the integrability approach to string theory on the AdS3× S3× T4background, it has not been possible to extract many concrete predictions from integrability, except in a strict asymptotic regime of large quantum numbers, due to the severity of wrapping effects. The situation changed radically with two independent and identical proposals for the Quantum Spectral Curve (QSC) for this system in a background of pure Ramond-Ramond flux. In other integrable superstring backgrounds there is compelling evidence that this formulation captures all wrapping effects exactly and describes the full planar spectrum. This great success motivates us to study the new proposed QSC and develop methods to extract from it concrete predictions for spectral data. The AdS3× S3× T4case presents a significant novel feature and challenge compared to its higher-dimensional analogues — massless modes. It has been conjectured that these manifest themselves in a new property of this QSC: the non-quadratic nature of the branch-cut singularities of the QSC Q-functions. This feature implies new technical challenges in solving the QSC equations as compared to the well-studied case of$$ \mathcal{N} $$N= 4 SYM. In this paper we resolve these difficulties and obtain the first ever predictions for unprotected string excitations in the planar limit with finite quantum numbers and RR flux. We explain how to extract a systematic expansion around the analogue of the weak ’t Hooft coupling limit in$$ \mathcal{N} $$N= 4 SYM and also obtain high-precision numerical results. These concrete data and others obtainable from the QSC could help to identify the so-far mysterious dual CFT.
Augmented reality-guided pelvic osteotomy of Ganz: feasibility in cadavers
Authors: Hoch Armando , Liebmann Florentin , Farshad Mazda , Fürnstahl Philipp , Rahm Stefan , Zingg Patrick O. 
Published: December 2023

Abstract
Introduction
The periacetabular osteotomy is a technically demanding procedure with the goal to improve the osseous containment of the femoral head. The options for controlled execution of the osteotomies and verification of the acetabular reorientation are limited. With the assistance of augmented reality, new possibilities are emerging to guide this intervention. However, the scientific knowledge regarding AR navigation for PAO is sparse.

Methods
In this cadaveric study, we wanted to find out, if the execution of this complex procedure is feasible with AR guidance, quantify the accuracy of the execution of the three-dimensional plan, and find out what has to be done to proceed to real surgery. Therefore, an AR guidance for the PAO was developed and applied on 14 human hip cadavers. The guidance included performance of the four osteotomies and reorientation of the acetabular fragment. The osteotomy starting points, the orientation of the osteotomy planes, as well as the reorientation of the acetabular fragment were compared to the 3D planning.

Results
The mean 3D distance between planned and performed starting points was between 9 and 17 mm. The mean angle between planned and performed osteotomies was between 6° and 7°. The mean reorientation error between the planned and performed rotation of the acetabular fragment was between 2° and 11°.

Conclusion
The planned correction can be achieved with promising accuracy and without serious errors. Further steps for a translation from the cadaver to the patient have been identified and must be addressed in future work.
Short-term safety and effectiveness of the mCLIP partial prosthesis
Authors: Rasse Thomas , Niederwanger Lisa , Hornung Joachim , Taha Lava , Arndt Susan , Offergeld Christian , Beutner Dirk , Bevis Nicholas , Lenarz Thomas , Teschner Magnus , Schimanski Esther , Georg Sprinzl  , Magele Astrid , Skarżyński Piotr H. , Plichta Łukasz , Arnoldner Christoph , Riss Dominik , Loader Benjamin , Windisch Franz , Rubicz Nina , Zwittag Paul Martin 
Published: December 2023

Abstract
Purpose
This multicentric, retrospective study aimed to analyze the short-term safety and effectiveness of the mCLIP Partial Prosthesis.

Methods
Patients underwent tympanoplasty with implantation of a mCLIP Partial Prosthesis. Follow-up examination included ear microscopy and pure-tone audiometry to determine the post-operative pure tone average of the frequencies 0.5, 1, 2 and 3 kHz (PTA4). The post-operative PTA4 air bone gap (ABG) was used to evaluate the audiological outcome. A post-operative minimum and maximum follow-up period was not defined. Thus, the follow-up times of each study center were different, which resulted in different follow-up times for the audiological analysis and for adverse events (AE).

Results
72 (66 adults, 6 children) patients were implanted with the mCLIP Partial Prosthesis. 68 (62 adults, 6 children) patients underwent audiological examination; all 72 patients were examined for adverse events. All patients (N = 68): 72.1% of the patients showed a PTA4 ABG of ≤ 20 dB. Individual post-operative bone conduction (BC) PTA4 thresholds were stable in 67 patients. The mean post-operative follow-up time was 78 ± 46 days. Children (N = 6): 5 out of 6 children showed a PTA4 ABG of ≤ 20 dB. None of the children reported a BC PTA4 deterioration of > 10 dB HL after the implantation. The mean post-operative follow-up time was 101 ± 45 days. Adverse events (all patients, N = 72): 15 (14 adults, 1 child) patients had AEs (27 AEs and 2 Follow-Ups). The mean post-operative follow-up time was 375 days.

Conclusion
Clinical data show satisfactory audiological parameters after implantation of the mCLIP Partial Prosthesis. The prosthesis is safe and effective for implantation in children and adults.

Trial registration number
NCT05565339, 09 September 2022, retrospectively registered.
Lithium chloride treatments in free flying honey bee colonies: efficacy, brood survival, and within-colony distribution
Authors: Rein Carolin , Blumenschein Marius , Traynor Kirsten , Rosenkranz Peter 
Published: December 2023

AbstractThe efficacy of various lithium chloride (LiCl) applications in eradicating the parasitic mite Varroa destructor in honey bee colonies was investigated, with a specific focus on its impact on brood development. In broodless colonies (3 weeks post queen caging), the highest efficacy of 98% was achieved with a 9-day treatment of 2.5 kg of candy spiked with 50 mM LiCl. A shorter 5-day treatment with 2 kg of 50 mM LiCl candy resulted in an efficacy of 78%. In colonies with brood, a repeated short-term application of 4 × 0.5 kg 50 mM LiCl candy yielded an efficacy of 88%. LiCl treatment led to a removal of the first batch of brood reared after release of the queen. However, no long-term effects on colony growth were observed, and the colonies successfully overwintered. Additionally, the study demonstrated that lithium is rapidly distributed among the bees of a colony within 2 days, yet only low concentrations were detected in stored food samples. This suggests that the bees efficiently absorb and distribute lithium within the colony. The harvested honey in the following spring revealed a lithium concentration of 0.1–0.2 mg/kg, which is below naturally occurring lithium levels in honey. Based on these findings, LiCl can be considered an effective and easy-to-apply acaricide in broodless colonies, and even in colonies with brood, it had good efficacy and no long-term effects on colony survival. Further research may be necessary to determine the optimal treatment period for achieving an efficacy over 95%.
Mapping the impact of malnutrition as defined by the Global Leadership Initiative on Malnutrition and nutrition impact symptoms on the possibility of returning to work after treatment for head and neck cancer
Authors: Einarsson Sandra , Bokström Anna , Laurell Göran , Tiblom Ehrsson Ylva 
Published: December 2023

Abstract
Purpose
This study aimed to investigate whether malnutrition or nutrition impact symptoms (NIS) affect the possibility of returning to work after treatment for head and neck cancer.

Methods
Patients of working age with head and neck cancer were followed up from treatment initiation to 3 months (n = 238), 1 year (n = 182), and 2 years (n = 130) after treatment completion. The observed decrease in the number of patients over time was due to retirement, lack of follow-up, or death. Returning to work was dichotomised as yes or no. Malnutrition was diagnosed 7 weeks after treatment initiation using the Global Leadership Initiative on Malnutrition (GLIM) criteria. This time-point corresponds to the end of chemoradiotherapy or radiotherapy (with or without prior surgery), except for patients who underwent exclusive surgery. NIS were scored on a Likert scale (1–5) at each follow-up using the Head and Neck Patient Symptom Checklist© (HNSC©). Nonparametric tests were used to analyse the ability of patients with/without malnutrition and high/low NIS scores to return to work.

Results
At 3 months, 1 year, and 2 years after treatment completion, 135/238 (56.7%), 49/182 (26.9%), and 23/130 (17.7%) patients had not returned to work. Patients with malnutrition at 7 weeks after treatment initiation were more likely to not return to work at 3 months than those without malnutrition, 70.5% compared to 47.1% (p < 0.001). At all three follow-up time-points, patients reporting high scores for a number of NIS had more often not returned to work, with this pattern being most distinct at 2 years.

Conclusion
Malnutrition according to the GLIM criteria at 7 weeks after treatment initiation and NIS assessed by the HNSC© at subsequent follow-ups were predictors of the return-to-work process after treatment for up to 2 years.

Trial registration number
ClinicalTrials.gov NCT03343236 (date of registration 17/11/2017).
Robotic-assisted versus conventional total knee arthroplasty: a systematic review and meta-analysis of randomized controlled trials
Authors: Alrajeb Reda , Zarti Mohammed , Shuia Zakaria , Alzobi Osama , Ahmed Ghalib , Elmhiregh Aissam 
Published: December 2023

Abstract
Objectives
Robotic knee arthroplasty procedures have emerged as a new trend, garnering attention from orthopedic surgeons globally. It has been hypothesized that the use of robotics enhances the accuracy of prosthesis positioning and alignment restoration. The objective of this study was to provide a high-level, evidence-based comparison between robotic total knee replacements and conventional methods, focusing on radiological and functional outcomes.

Methods
We searched five databases from their inception until June 1, 2022, specifically targeting randomized controlled trials (RCTs) that compared the outcomes of robotic and conventional total knee replacements. We were interested in outcomes such as knee range of motion, clinical and function knee society scores, the Western Ontario and McMaster University score (WOMAC), the Hospital of Special Surgery score, complications, and radiological alignment. This review was carried out in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyzes guidelines. We assessed the risk of bias using the revised Cochrane risk-of-bias tool for randomized trials (RoB 2).

Results
Our search returned seven RCTs suitable for our analysis, which included a total of 1942 knees; 974 of these knees were implanted using robotic arms while the remaining 968 utilized jig-based knee systems. Our findings indicated that robotic knees had significantly better post-operative anatomical (OR − 0.82; 95% CI, − 1.027 to − 0.58, p value < 0.00001) and mechanical restoration (OR − 0.95; 95% CI, − 1.49 to − 0.41, p value < 0.0006). While knee range of motion (OR − 2.23; 95% CI − 4.89–0.43, p value 0.1) and femoral prosthesis position (OR − 0.98; 95% CI, − 2.03–0.08, p value 0.07) also favored robotic knees, these differences did not reach statistical significance. Both clinical and functional outcomes, as well as the rate of complications, were found to be statistically similar between the groups undergoing robotic and traditional knee replacement surgeries.

Conclusion
This meta-analysis indicates that robotic total knee replacements offer superior post-operative anatomical and mechanical alignment compared to conventional total knee replacements. Despite this, clinical and functional outcomes, as well as complication rates, were similar between the two. These findings should be considered in light of potential confounding factors. More randomized controlled trials with the latest robotic systems are needed to confirm any superior functional and clinical outcomes from robotic-assisted surgeries.

Level of evidence
I.
Immobilization of azide-functionalized proteins to micro- and nanoparticles directly from cell lysate
Authors: Saini Gunjan , Parasa Mrugesh Krishna , Clayton Katherine N. , Fraseur Julia G. , Bolton Scott C. , Lin Kevin P. , Wereley Steven T. , Kinzer-Ursem Tamara L. 
Published: December 2023

AbstractImmobilization of proteins and enzymes on solid supports has been utilized in a variety of applications, from improved protein stability on supported catalysts in industrial processes to fabrication of biosensors, biochips, and microdevices. A critical requirement for these applications is facile yet stable covalent conjugation between the immobilized and fully active protein and the solid support to produce stable, highly bio-active conjugates. Here, we report functionalization of solid surfaces (gold nanoparticles and magnetic beads) with bio-active proteins using site-specific and biorthogonal labeling and azide-alkyne cycloaddition, a click chemistry. Specifically, we recombinantly express and selectively label calcium-dependent proteins, calmodulin and calcineurin, and cAMP-dependent protein kinase A (PKA) with N-terminal azide-tags for efficient conjugation to nanoparticles and magnetic beads. We successfully immobilized the proteins on to the solid supports directly from the cell lysate with click chemistry, forgoing the step of purification. This approach is optimized to yield low particle aggregation and high levels of protein activity post-conjugation. The entire process enables streamlined workflows for bioconjugation and highly active conjugated proteins.
Graphical Abstract
Numerical solutions of nonlocal heat conduction technique in tumor thermal therapy
Authors: Abbas Ibrahim , Hobiny Aatef , El-Bary A. 
Published: December 2023

AbstractThe heat transport that takes place in living tissue during magnetic tumor hyperthermia is described in this study using the nonlocal bioheat model in spherical coordinates. In magnetic fluid hyperthermia, it is crucial to regulate the therapeutic temperature. This paper suggests a hybrid numerical approach that employs the Laplace transforms, change of variables, and modified discretization techniques, coupled with nonlocal hyperbolic shape function, to tackle the present problem. This study investigates the impacts of nonlocal parameter and the disparity in thermophysical properties between diseased and healthy tissue. A graph is displayed to represent the numerical temperature results. The validity of the numerical findings is demonstrated by comparing them with the results reported in previous literature.
Back-analysis of the paraglacial slope failure at Grewingk Glacier and Lake, Alaska
Authors: Lemaire Emilie , Dufresne Anja , Hamdi Pooya , Higman Bretwood , Wolken Gabriel J. , Amann Florian 
Published: December 2023

AbstractThe relationship between rock-slope failure and glacier retreat is complex, and paraglacial failures often lack clearly identified triggers. To better understand the role of glacier retreat in rock-slope failures, we analysed the processes that led to the October 1967 Grewingk landslide in Kachemak Bay State Park on the Kenai Peninsula, Southcentral Alaska. The rock material collapsed onto the glacier toe and into its pro-glacial lake and produced a tsunami wave that swept the outwash plain. On the day of the failure, rainfall and snowmelt were well within normal ranges, and seismic records show no significant shaking. Three years prior to the 1967 failure, the slope withstood the second largest earthquake ever recorded (Great Alaskan earthquake, MW 9.2). We reassessed the volume of the failure by differencing pre- and post-digital terrain models and found a value of 20–24 × 106 m3, which is four times smaller than a previous estimate. The back analysis of the Grewingk landslide is based on remote sensing data and field measurements including aerial satellite image analysis, detailed surveying and understanding of the structural geology, a kinematic analysis, and runout modelling. Our research provides an example of a major paraglacial failure that lacks an obvious trigger and points to several geological factors and changing environmental conditions that likely promote such failures. This study further indicates that the Grewingk landslide, pre-conditioned by the geometry of faults and joints, may have reached a critical stability state due to internal processes and the potential combined effects of seismic activity and glacier retreat prior to the collapse.
A decision support model to investigate the pandemic recovery challenges and strategies in the leather supply chain
Authors: Moktadir Md. Abdul , Sarker Md. Rayhan , Sharif Taimur , Abedin Mohammad Zoynul 
Published: December 2023

AbstractThe COVID-19 has caused unprecedented disruptions to supply chains (SC) worldwide, posing numerous challenges for industries, particularly in the emerging economies (EE). These economies are undergoing a phase of recovery from the pandemic devastations now, requiring investigation into the recovery challenges (RCs) and propositions for effective recovery strategies (RSs) to address RCs. Given this backdrop, this study aims to explore the COVID-19-related RCs in the Bangladeshi leather industry and build an integrated decision-making model to formulate RSs to counteract the RCs while the industry seeks to recover. This study used Pareto analysis to deduce lists of the nine most critical RCs and nine vital RSs for the Bangladeshi leather industry. This study also applied the best worst method (BWM) to identify a long-term liquidity crisis and an increasing bankruptcy of business stakeholders as the most urgent RCs, highlighting financial sustainability as a significant matter of concern for the sector. With regard to the RSs, the application of the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) indicated a need to solve the existing problems of central effluent treatment plant (CETP) and provisioning of solid waste management facilities for long run business as priorities to make the leather industry SC more financially and operationally sustainable. The RSs formulated in this study have managerial implications for decision-makers in reducing the adversities caused by the pandemic and hence improving the SC performance of the leather industry. Although not totally, these valuable insights into the RCs and RSs for the leather industry during and following COVID-19 periods can be generalized across other industries in Bangladesh and EE regions affected by the pandemic.
Using learners’ problem-solving processes in computer-based assessments for enhanced learner modeling: A deep learning approach
Authors: Chen Fu , Lu Chang , Cui Ying 
Published: December 2023

AbstractSuccessful computer-based assessments for learning greatly rely on an effective learner modeling approach to analyze learner data and evaluate learner behaviors. In addition to explicit learning performance (i.e., product data), the process data logged by computer-based assessments provide a treasure trove of information about how learners solve assessment questions. Unfortunately, how to make the best use of both product and process data to sequentially model learning behaviors is still under investigation. This study proposes a novel deep learning-based approach for enhanced learner modeling that can sequentially predict learners’ future learning performance (i.e., item responses) based on modeling their history learning behaviors. The evaluation results show that the proposed model outperforms another popular deep learning-based learner model, and process data learning of the model contributes to improved prediction performance. In addition, the model can be used to discover the mapping of items to skills from scratch without prior expert knowledge. Our study showcases how product and process data can be modelled under the same framework for enhanced learner modeling. It offers a novel approach for learning evaluation in the context of computer-based assessments.
Detecting envelope wages with e-billing information
Authors: Lopez-Luzuriaga Andrea , Calijuri Monica , Pessino Carola , Schächtele Simeon , Gonzalez Ubaldo , Chamorro Carla 
Published: December 2023

AbstractWe use information from the electronic billing system to estimate the underreporting of income of private sector employees. We follow an expenditure-based methodology using the consumption of public and private sector employees for similar levels of reported income. We find that private sector employees underreport between 7 and 9% of their income in Ecuador. The size of the underreporting gap is negatively correlated with the number of employees at the firm, consistent with different risks and administrative costs of ‘envelope wages’ in small versus large firms.
3D Remote Assistance for NDT Inspections
Authors: Rehbein Jörg , Lorenz Sebastian-Johannes , Holtmannspötter Jens , Valeske Bernd 
Published: December 2023

AbstractIn this work, we present a system architecture that is especially designed for remote ultrasound testing inspections (UT). The system itself is realized using a real-time session service and a web service based on a REST API (REST: Representational State Transfer; API: application programming interface). This web service is used to store data persistently, e.g., sample geometries, raw nondestructive testing (NDT) data and derived inspection results in a shared dataspace. In the current development state, the results consist of textures mapped onto the sample geometry. This approach allows us to display the UT results directly on the real sample using mixed reality technologies. We also implemented a feature to assist the inspector remotely by making use of the availability of this digital representation. Hence, it is necessary to share additional data like the current UT-signal, temporary position marks, user and device positions, etc. between the different participants. A real-time distribution of this highly dynamic data is required to create an effective assistance environment. Therefore, a separate session service is used. The inspection data generated in this temporary session can also be transferred to the afore mentioned dataspace to be saved persistently. The system features mixed reality visualization for the inspector and optionally a virtual reality or a 3D Desktop environment for one or more remote assistants.