bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of elranatamab vs EPd, PVd, or Kd in patients with relapsed or refractory multiple myeloma and prior anti-CD38–directed therapy: MagnetisMM-32.
Authors: Schuster Steven Robert , Ito Satoshi , Hoyle Margaret , Yver Anne , Hong Fangxin , Finn Gregory 
Published: June 2024

TPS7576 Background: Elranatamab (ELRA), a humanized B-cell maturation antigen (BCMA)-CD3 bispecific antibody, has shown efficacy and manageable safety as a monotherapy in patients with relapsed or refractory multiple myeloma (RRMM). This study will evaluate ELRA monotherapy vs elotuzumab-pomalidomide-dexamethasone (EPd), pomalidomide-bortezomib-dexamethasone (PVd), or carfilzomib-dexamethasone (Kd) in patients with RRMM to determine whether ELRA can provide superior clinical benefit. Methods: MagnetisMM-32, a phase 3, open-label, multicenter, randomized study, will enroll ≈492 patients. Patients will receive ELRA (Arm A) or investigator’s choice of EPd, PVd or Kd (Arm B), until disease progression, unacceptable toxicity, withdrawal of consent, loss to follow-up, or study termination. Patients treated with ELRA will receive 2 step-up priming doses followed by weekly doses in a 28-day cycle. Patients who achieve a PR or better for ≥2 months will be eligible for reduced dosing frequency. Patients will be randomized 1:1 (stratified by prior line of therapy [1 vs 2 vs 3/4] and International Staging System disease stage [1/2 vs 3]). Key inclusion criteria include age of ≥18 years, prior multiple myeloma diagnosis with measurable disease (per IMWG criteria), evidence of progressive disease or failure to achieve a response to last line of multiple myeloma therapy, 1 to 4 prior lines of therapy including an anti–CD38 antibody–containing regimen (for ≥2 consecutive cycles) and a lenalidomide-containing regimen (for ≥2 consecutive cycles), adequate bone marrow function, and an ECOG performance status of ≤2. Key exclusion criteria include stem cell transplant ≤12 weeks prior to enrollment; active, uncontrolled infection; prior BCMA-directed or CD3-redirecting therapy; and unable to receive EPd, PVd, or Kd. The primary and key secondary endpoints are progression-free survival (PFS) by blinded independent central review (BICR) per IMWG criteria and overall survival (OS), respectively. Other secondary endpoints include PFS by investigator, objective response rate, duration of response, time to response by BICR, PFS on next line of therapy per IMWG criteria, MRD negativity rate, safety, pharmacokinetics of ELRA, immunogenicity, and health-related quality of life outcomes. The primary endpoint and OS will be compared statistically between treatment arms by stratified log-rank tests. Clinical trial information: NCT06152575 .
Reduced vacuolar ATPase protects mice from Friend virus infection – an unintended but instructive effect in Hif-2afl mice
Authors: Schreiber Timm , Koll Nora , Padberg Claudia , de los Reyes Buena , Quinting Theresa , Malyshkina Anna , Metzen Eric , Sutter Kathrin , Fandrey Joachim , Winning Sandra 
Published: June 2024

ABSTRACT
During acute viral infections, innate immune cells invade inflamed tissues and face hypoxic areas. Hypoxia-inducible factors (HIFs) adapt cellular responses towards these conditions. We wanted to investigate the effects of a loss of HIF-2α in macrophages during acute Friend murine leukemia retrovirus (FV) infection in C57BL/6 mice using a Cre/loxP system. Remarkably, mice with floxed Hif-2a (Hif-2afl; Hif-2a is also known as Epas1) did not show any signs of FV infection independent of Cre activity. This prevented a detailed analysis of the role of macrophage HIF-2α for FV infection but allowed us to study a model of unexpected FV resistance. Hif-2afl mice showed a significant decrease in the expression of the Atp6v1e2 gene encoding for the E2 subunit of the vacuolar H+-ATPase, which resulted in a decreased acidification of lysosomes and limited virus entry into the cell. These findings highlight that the insertion of loxP sites is not always without functional consequences and has established a phenotype in the floxed Hif-2a mouse, which is not only unexpected, but unwanted and is of relevance for the use of this mouse strain in (at least virus) experiments.
Tropical and montane Apis cerana show distinct dance–distance calibration curves
Authors: A. K. Bharath Kumar , George Ebi Antony , Brockmann Axel 
Published: June 2024

ABSTRACT
Social bees have evolved sophisticated communication systems to recruit nestmates to newly found food sources. As foraging ranges can vary from a few hundred meters to several kilometers depending on the environment or season, populations of social bee species living in different climate zones likely show specific adaptations in their recruitment communication. Accordingly, studies in the western honey bee, Apis mellifera, demonstrated that temperate populations exhibit shallower dance-calibration curves compared with tropical populations. Here, we report the first comparison of calibration curves for three Indian Apis cerana lineages: the tropical Apis indica, and the two montane Himalayan populations Apis cerana cerana (Himachal Pradesh) and Apis cerana kashmirensis (Jammu and Kashmir). We found that the colonies of the two montane A. cerana populations show dance–distance calibration curves with significantly shallower slopes than those of the tropical A. indica. Next, we transferred A. c. cerana colonies to Bangalore (∼ 2600 km away) to obtain calibration curves in the same location as A. indica. The common garden experiment confirmed this difference in slopes, implying that the lineages exhibit genetically fixed differences in dance–distance coding. However, the slopes of the calibration curves of the transferred A. c. cerana colonies were also significantly higher than those of the colonies tested in their original habitat, indicating an important effect of the environment. The differences in dance–distance coding between temperate and tropical A. cerana lineages resemble those described for Apis mellifera, suggesting that populations of both species independently evolved similar adaptations.
Stochastic First-Order Algorithms for Constrained Distributionally Robust Optimization
Authors: Im Hyungki , Grigas Paul 
Published: June 2024

We consider distributionally robust optimization (DRO) problems, reformulated as distributionally robust feasibility (DRF) problems, with multiple expectation constraints. We propose a generic stochastic first-order meta-algorithm, where the decision variables and uncertain distribution parameters are each updated separately by applying stochastic first-order methods. We then specialize our results to the case of using two specific versions of stochastic mirror descent (SMD): (i) a novel approximate version of SMD to update the decision variables, and (ii) the bandit mirror descent method to update the distribution parameters in the case of [Formula: see text]-divergence sets. For this specialization, we demonstrate that the total number of iterations is independent of the dimensions of the decision variables and distribution parameters. Moreover, the cost per iteration to update both sets of variables is nearly independent of the dimension of the distribution parameters, allowing for high-dimensional ambiguity sets. Furthermore, we show that the total number of iterations of our algorithm has a logarithmic dependence on the number of constraints. Experiments on logistic regression with fairness constraints, personalized parameter selection in a social network, and the multi-item newsvendor problem verify the theoretical results and show the usefulness of the algorithm, in particular when the dimension of the distribution parameters is large. History: Accepted by Antonio Frangioni, Area Editor for Design & Analysis of Algorithms—Continuous. Funding: This work was supported by the National Science Foundation [Grant 2112533]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/ijoc.2023.0167 .
The Terminator: An Integration of Inner and Outer Approximations for Solving Wasserstein Distributionally Robust Chance Constrained Programs via Variable Fixing
Authors: Jiang Nan , Xie Weijun 
Published: June 2024

We present a novel approach aimed at enhancing the efficacy of solving both regular and distributionally robust chance constrained programs using an empirical reference distribution. In general, these programs can be reformulated as mixed-integer programs (MIPs) by introducing binary variables for each scenario, indicating whether a scenario should be satisfied. Whereas existing methods have focused predominantly on either inner or outer approximations, this paper bridges this gap by studying a scheme that effectively combines these approximations via variable fixing. By checking the restricted outer approximations and comparing them with the inner approximations, we derive optimality cuts that can notably reduce the number of binary variables by effectively setting them to either one or zero. We conduct a theoretical analysis of variable fixing techniques, deriving an asymptotic closed-form expression. This expression quantifies the proportion of binary variables that should be optimally fixed to zero. Our empirical results showcase the advantages of our approach in terms of both computational efficiency and solution quality. Notably, we solve all the tested instances from literature to optimality, signifying the robustness and effectiveness of our proposed approach. History: Accepted by Andrea Lodi/Design & Analysis of Algorithms — Discrete. Funding: This work was supported by Office of Naval Research [N00014-24-1-2066]; Division of Civil, Mechanical and Manufacturing Innovation [2246414]. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2023.0299 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2023.0299 ). The complete IJOC Software and Data Repository is available at https://informsjoc.github.io/ .
Improving Students’ Argumentation Skills Using Dynamic Machine-Learning–Based Modeling
Authors: Wambsganss Thiemo , Janson Andreas , Söllner Matthias , Koedinger Ken , Leimeister Jan Marco 
Published: June 2024

This study explores the potential of dynamic, machine learning (ML)-based modeling to enhance students’ argumentation skills—a crucial component in education and professional success. Traditional educational tools often rely on static modeling, which does not adapt to individual learner needs or provide real-time feedback. In contrast, our research introduces an innovative ML-based system designed to offer dynamic, personalized feedback on argumentation skills. We conducted three empirical studies comparing this system against traditional methods such as scripted and adaptive support modeling. Our results show that dynamic behavioral modeling significantly improves learners’ objective argumentation skills across domains, outperforming all established methods. The results further indicate that, compared with adaptive support, the effect of the dynamic modeling approach holds across complex (large effect) and simple tasks (medium effect) and supports learners with lower and higher expertise alike. This research has important implications for educational policy and practice; incorporating such dynamic systems could transform learning environments by providing scalable, individualized support. This would not only foster essential skills but also cater to diverse learner profiles, potentially reducing educational disparities. Our work suggests a shift toward integrating more adaptive technologies in educational settings to better prepare students for the demands of the modern workforce.
On the Robustness of Idiosyncratic Volatility Effect
Authors: Barinov Alexander 
Published: June 2024

The idiosyncratic volatility (IVol) effect is robust to restricting the sample to New York Stock Exchange (NYSE) firms (once the proper listing indicator is used) and to excluding from the sample small, illiquid, and low-price stocks. The idiosyncratic volatility effect is also unlikely to stem from the short-run reversal, as the IVol effect stays significant for about six months and seems stronger for high turnover firms, which do not exhibit short-term reversal. The IVol effect also does not seem to weaken postpublication. This paper was accepted by Lukas Schmid, finance. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.04140 .
The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations
Authors: Grand-Clément Julien , Pauphilet Jean 
Published: June 2024

Many high-stake decisions follow an expert-in-loop structure in that a human operator receives recommendations from an algorithm but is the ultimate decision maker. Hence, the algorithm’s recommendation may differ from the actual decision implemented in practice. However, most algorithmic recommendations are obtained by solving an optimization problem that assumes recommendations will be perfectly implemented. We propose an adherence-aware optimization framework to capture the dichotomy between the recommended and the implemented policy and analyze the impact of partial adherence on the optimal recommendation. Our framework provides useful tools to analyze the structure and to compute optimal recommendation policies that are naturally immune against such human deviations and are guaranteed to improve upon the baseline policy. This paper was accepted by Nicolas Stier-Moses, special issue on the human-algorithm connection. Funding: J. Grand-Clément was supported by the Agence Nationale de la Recherche [Grant 11-LABX-0047] and Hi! Paris. Supplemental Material: The data files are available at https://doi.org/10.1287/mnsc.2023.01851 .
Boundary Effects in the Diffusion of New Products on Cartesian Networks
Authors: Fibich Gadi , Levin Tomer , Gillingham Kenneth T. 
Published: June 2024

The Role of Boundaries in the Spreading of Solar Peer effects by neighbors play a key role in the spreading of residential solar. Thus, people are more likely to install a solar system on their roof if some of their neighbors have already done so. Because people who live near the municipality boundary have fewer neighbors, does this imply that they are less likely to adopt solar? In “Boundary Effects in the Diffusion of New Products on Cartesian Networks,” Fibich, Levin, and Gillingham analyze this problem analytically using the Bass model on two-dimensional networks and empirically using data on installations of solar systems. They show that boundaries have a significant impact on the adoption of residential units near the municipality boundary. Their effect on the aggregate adoption in the municipality, however, is negligible.
Dynamic Exception Points for Fair Liver Allocation
Authors: Celdir Musa Eren , Akan Mustafa , Tayur Sridhar 
Published: June 2024

There are disparities in access to livers based on transplant patients’ height, which disproportionately affects Hispanics, Asians, and women (across all ethnicities), because short patients can receive transplants from a smaller pool of available deceased donors for medical reasons. Reduced likelihood of transplantation leads to higher mortality rates and longer waiting times. We analyze fairness within the current U.S. liver allocation system where patients receive priority dynamically, based on their model for end-stage liver disease (MELD) scores, which reflect the severity of liver disease. We propose a simple adjustment, providing additional (exception) points based on height and MELD score, that can be easily implemented in practice, which materially reduces the disparity without sacrificing overall efficiency. We model the liver allocation system as a multiclass fluid model of overloaded queues with heterogeneous servers. We impose explicit equity constraints for all static patient classes, that is, height. We characterize the optimal solution under the objective of minimizing pretransplant mortality. The discretized version of the optimal policy is numerically solved using estimates from clinical data and a detailed simulation study demonstrates its effectiveness. The optimal policy, called the equity adjusted mortality risk policy, advocates ranking patients based on their short-term mortality risk adjusted for equity among height classes. Interpretation of the shadow prices of equity constraints in the optimal control problem as MELD exception points is novel in the transplant context since they can be seamlessly mapped into the existing system. Our simulations show that for women, the disparity can be almost completely eliminated. Hispanics and Asians greatly benefit from receiving these MELD exception points also. Our work provides a remedy to reduce the disparities in access to liver transplantation within the MELD-based allocation. Our approach can help the on-going analysis of the continuous distribution model for livers because it also considers aspects of candidate biology, notably height and body surface area. Funding: M. Akan was supported by the National Science Foundation [Grant CMMI-1334194] and the Carnegie Mellon University (CMU) [Onetto Fellowship in Operations Management]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/serv.2023.0092 .
NEGLECTED AND RELAPSED CLUBFOOT IN ADULTS: THE FUNCTIONAL OUTCOME OF ACUTE SURGICAL CORRECTION
Authors: Nogdallah S. , Fatooh M. , Khairy A. , Mohamed H. , Abdulrahman A. , Mohamed H. 
Published: June 2024

BackgroundNeglected clubfoot in this series is defined as untreated equino-cavo-adducto-varus in older children, or adults. Relapsed clubfoot is the residual deformity that remains after single or multiple surgical interventions. Severe neglected clubfoot rarely exists today in developed countries, except in some emigrants from low- and middle-income countries. Acute surgical management with corrective mid-foot osteotomy and elongation of the Achilles tendon has excellent functional outcome.ObjectiveTo assess the functional outcome of acute correction of neglected Talipes-quino-varus deformity in adults.MethodsThis is cross sectional, hospital–based study that took place in Khartoum, Sudan. Forty patients were included in this study. Midfoot osteotomy and elongation of the Achilles tendon were performed to all patients. Data was collected using a questionnaire and the functional outcome has been assessed using the American Orthopaedic Foot and Ankle Society Score (AOFAS). This score was measured before surgery and one years after surgery.ResultsThe mean age was 19.9±4.7 years. Males were 25 (62.5%) and females were 15 (37.5%). The mean preoperative AOFAS score was 37.7±7.1 (poor). This score improved to 80.7±13.7 (good to excellent), two years after surgery. However, this indicates significant change in the functional outcome after the operation (P value < 0.05). Excellent post-operative functional outcome was found among patients aged 18 – 23 years 18 (50%) P. value: 0.021. The majority of patients 36(90%) were fully satisfied with the operation, 2(5%) partially satisfied and 2(5%) were unsatisfied.ConclusionAcute correction of neglected and relapsed TEV with elongation of the Achilles tendon and single midfoot osteotomy has excellent functional outcome as assessed by AOFAS Score. The satisfaction with this procedure is impressive. The younger age population showed better outcomes with this procedure.
Prevalence and associated factors of coexisting forms of malnutrition in children under 5 years age in a rural area of Cameroon
Authors: Tchuente Boris Ronald Tonou , Nguedjo Maxwell Wandji , Ngoumen Dany Joël Ngassa , De Wandji Grace Cynthia Fandio , Tene Mouafo Hippolyte , Tambe Betrand Ayuk , Medoua Gabriel Nama , Ndomo Tsamo Vigny 
Published: June 2024

Background
Malnutrition of children under 5 years of age is persistent in Cameroon principally in rural areas. Moreover, there is limited knowledge of coexisting forms of malnutrition (CFM) among children of this age. Therefore, the aim of this study was to assess the prevalence of CFM in a cohort of children under 5 years and to identify the associated factors.

Methods
A cross-sectional study was conducted in the Health Districts of the locality of Dschang in the West region of Cameroon between June 2021 to November 2021. Data were collected from 200 under-five children of both sexes and an interviewer-administered questionnaire was administered to consented children’s mothers/guardians. Malnutrition in children was assessed by WHO growth standards (weight-for-height, weight-for-age, height-for-age and body mass index-for-age). The different CFM were defined by the presence of two autonomous forms of malnutrition in the same child. Logistic regression analyses were done to identify factors associated to different coexisting forms of malnutrition.

Results
The results obtained showed prevalences of 4.20% for the coexistence of underweight with wasting, 7.8% for the coexistence of underweight with stunting and 14.8% for the coexistence of stunting with overweight. Lower maternal age (15–24 years old; OR = 0.09; p = 0.05) and lower education level (primary education, OR = 23.33; p = 0.00) were associated with the coexistence of underweight with wasting. Marital status (single mother, OR = 0.28; p = 0.00) was associated to the coexistence of stunting with overweight/obesity.

Conclusion
The findings of this study provide evidence on the coexistence of different forms of malnutrition among children below five years of age in rural area of Cameroon. These finding would guide future research, policies, and programs on the management of malnutrition in rural areas of Cameroon.
Effectiveness of post-abortion care services to protect women’s fertility in China: A systematic review with meta-analysis
Authors: Wang Xin , Deng Mengcong , Zhu Yujia , Wu Shangchun , Mao Qunxia , Wang Hongwei 
Published: June 2024

Objective
This study aimed to evaluate the effectiveness of post-abortion care services in Chinese women who have undergone induced abortion.

Methods
A systematic literature search was conducted in five databases from January 2011 to June 2023 (PROSPERO registration CRD42023440458). Estimates of intervention effects were represented as relative risk (RR) with 95% confidence intervals (CI). The Grading of Recommendations Assessment, Development and Evaluation (GRADE) was used to evaluate the strength of recommendations.

Results
The meta-analysis of 42 randomized controlled studies involving 70,126 participants indicated that post-abortion care services could significantly increase rate of effective contraceptive use (RR = 2.33, 95%CI = 1.80–3.00, 10 studies, GRADE (Medium)), reduce repeat abortion rate (RR = 0.26, 95%CI = 0.20–0.36, 19 studies, GRADE (High)), increase follow-up visit rate (RR = 1.37, 95%CI = 1.06–1.75, 5 studies, GRADE (Very low)) in one year after abortions, and improve patient satisfaction rate (RR = 1.37, 95%CI = 1.03–1.83, 9 studies, GRADE (High)).

Conclusion
Post-abortion care services could help increase the rate of continuation of post-abortion effective contraceptives, prevent repeat abortions, and promote female fertility. Exploring strategies for better provision of post-abortion services requires more high-quality research.