bluuebunny/crossref_metadata_2025_split huggingface dataset:
SIX-DAYS DYNAMICS ANXIETY INDEX OF FEMALE RATS WITH HIGH LEVEL OF ANXIETY IN BLOCKADE OF MAO-B
Authors: Khusainov Denis R. , Lukyanceva Albina N. , Tribrat Natalya S. , Biryukova Elena A. , Chuyan Elena N. , Korenyuk Ivan I. , Tumanyants Karine N. , Kashutina Ekaterina V. 
Published: March 2024

Notoriously that motor and research activities are gradually oppressed up to complete suppression during the daily testing of animals. Generally, an animal stops researching the test space and demonstrates the passive behavior. In the past studies on female rats we have found out that the blockade of monoamine oxidase B (MAO-B) doesn’t prevent of the suppression of animal’s behavior activity during the daily testing. Also, according to the cumulative result it was supposed, that the increasing of anxiety can’t to be the main reason of motor deprivation. But the last statement required of experimental confirmation. According to the said statement the purpose of this work was formulated the following way: to find out the dependence of behavior activity oppression of female rats during the daily testing of anxiety level in normal conditions and in blockade of MAO-B one.
Methods: the research work was carried out on 48 white female rats line Wistar aged 7 months, contained in standard conditions of vivarium. All of the animals were homogenous sample with the middle level of motor activity and high level of anxiety (the index of anxiety (IA) were more than 0,7 of conventional units).
The rats were divided into four groups of 12 animal units in each one, lately -2 control sets and 2 experimental one (blockade of MAO-B). The animal behavioral reactions were researched in two tests: “Open field” (circular, diameter 1m) and elevated plus-maze (EPM, standard sized for rats). The residence time of each rat in both test setting was 5 minutes. This period of time is recorded by high definition camcorder; video recording is analyzed automatically by the program complex Noldus EthoVision 12.
It was found out, that the increasing the level anxiety cannot be the only reason of motor activity oppression of high-anxiety female rats in “Open field” and elevated plus-maze tests. The blockade of MAO-B decreases the index of anxiety of animals, that, possible, indicates on directly dopaminergic system and the central dopamine participation in the emotional state regulation along with other monoamines. Also the EPM test is more indicative for analyzing of dynamic of the anxiety index compared with “Open field” test.
A Graph-Based Approach for Relating Integer Programs
Authors: Steever Zachary , Hunt Kyle , Karwan Mark , Yuan Junsong , Murray Chase C. 
Published: March 2024

This paper presents a framework for classifying and comparing instances of integer linear programs (ILPs) based on their mathematical structure. It has long been observed that the structure of ILPs can play an important role in determining the effectiveness of certain solution techniques; those that work well for one class of ILPs are often found to be effective in solving similarly structured problems. In this work, the structure of a given ILP instance is captured via a graph-based representation, where decision variables and constraints are described by nodes, and edges denote the presence of decision variables in certain constraints. Using machine learning techniques for graph-structured data, we introduce two approaches for leveraging the graph representations for relating ILPs. In the first approach, a graph convolutional network (GCN) is used to classify ILP graphs as having come from one of a known number of problem classes. The second approach makes use of latent features learned by the GCN to compare ILP graphs to one another directly. As part of the latter approach, we introduce a formal measure of graph-based structural similarity. A series of empirical studies indicate strong performance for both the classification and comparison procedures. Additional properties of ILP graphs, namely, losslessness and permutation invariance, are also explored via computational experiments. History: Accepted by Pascal Van Hentenryck, Area Editor for Computational Modeling: Methods & Analysis. 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.2023.0255 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2023.0255 ). The complete IJOC Software and Data Repository is available at https://informsjoc.github.io/ .
Elective Surgery Sequencing and Scheduling Under Uncertainty
Authors: Fu Xiaojin , Qi Jin , Yang Chen , Ye Han 
Published: March 2024

Problem definition: We consider a surgery sequencing and scheduling problem with uncertain durations of surgeries in the context of an operating theater. From real data collected from a hospital, we observe the common practice, namely, “to follow,” in which surgeries are conducted sequentially and immediately one after another, according to a specific schedule. Methodology/results: Based on this practice, we propose a mathematical framework to balance the risk of delay and idling using the punctuality index, which takes into consideration both the probability and intensity of delay and idle time. We develop a computationally efficient procedure based on Benders decomposition to derive exact solutions for the problem. The scheduling problem is solvable in polynomial time when the sequence is given. The framework can also accommodate a robust setting when the underlying probability distribution is not fully available. For practical use, we propose two effective heuristics for sequencing decisions by approximating the model. Using real data, we demonstrate that our framework is significantly better than the risk-neutral and probability-maximizing approaches in both performance and computational efficiency. Moreover, the robust setting can effectively lessen the risk of extremely long delay and idle time, and the heuristics are efficient with only a small sacrifice of performance. Managerial implications: With the to-follow policy, our sequencing and scheduling model describes the actual practice better. The two heuristics can be applied easily and directly to help managers of operating theaters to make decisions. Funding: J. Qi is supported by the Hong Kong Research Grants Council [Grants 26202016, 16212419, and 16204521]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.0029 .
A Random Consideration Set Model for Demand Estimation, Assortment Optimization, and Pricing
Authors: Gallego Guillermo , Li Anran 
Published: March 2024

Random Consideration Set Model We operationalize a microfounded consumer choice model—the random consideration set (RCS) choice model of Manzini and Mariotti [Manzini P, Mariotti M (2014) Stochastic choice and consideration sets. Econometrica 82(3):1153–1176]—that captures the limited attention of consumers, assuming that purchases are based on fixed preference orderings with consideration sets formed from independent attentions. We provide a condition for uniquely identifying model parameters and design an efficient algorithm for model parameters estimation. We offer a greedy-like algorithm for assortment optimization, adaptable for optimal assortment subject to cardinality constraint or discovering efficient sets. We extend the model to consider random product preferences, with a 1/2 performance-guaranteed approximation algorithm. Using data from a major U.S. airline, we find that the RCS model outperforms the mixed multinomial logit model in approximately half of the markets, particularly with smaller, less varied data sets.
A Part of, or Apart from, Me?: Linking Dynamic Founder-Venture Identity Relationships to New Venture Strategy
Authors: Crosina Eliana , Pratt Michael G. , Lifshitz Hila 
Published: March 2024

Based on a three-year inductive field study of first-time founders, we reveal the dynamic identity relationships that tie founders to their ventures: what such relationships comprise, how they evolve over time, and with what strategic implications for the development of new businesses. Specifically, we found that such relationships comprise both identification and construals, which capture the degree to which founders saw their ventures as self-defining and founder-venture psychological distance. Construals, and shifts in construals over time, were critical in explaining how entrepreneurs handled venture-related challenges, as well as how they strategically (re)focused their ventures in terms of scope, whether by diversifying or specializing. By explaining these dynamics, we contribute to research on entrepreneurial identity as well as to construal level theory. In addition, as we distinguish construals from identification, we highlight the importance of construals for understanding identity relationships beyond entrepreneurship. Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2021.15271 .
Data Sharing Between Firms and Social Planners: An Economic Analysis of Regulation, Privacy, and Competition
Authors: Arora Ayesha , Jain Tarun 
Published: March 2024

Digital platforms share their customers’ data with social planners, who may utilize it to improve socioeconomic infrastructure. This may benefit customers because of the experience of improved infrastructure. On the contrary, it may lead to privacy concerns among them (as these data sets may include sensitive information). In this paper, we analyze the game-theoretic model to characterize the granularity of data sharing between firms and the social planner and the investments by the social planner to improve public infrastructure. In order to analyze the impact of regulation on data sharing strategy, we consider the cases when data sharing is regulated (decided by the social planner) and unregulated (strategically decided by firms). Our analysis reveals that the firms as well as the social planner decrease the granularity of data with an increase in privacy concerns among customers. To analyze the impact of regulation, we compare the granularity of data shared under unregulated and regulated scenarios. We find that when the firm is monopolist, it shares data with a higher level of granularity in the unregulated scenario. Interestingly, we find that under market competition, the data granularity may be higher or lower compared with the regulated scenario. Specifically, we find that if firms jointly determine the granularity of data to be shared, they share data with higher granularity under the unregulated scenario; however, if they do not collaborate and individually decide on data sharing, we find that regulation leads to higher granularity of data to be shared. Finally, we find that firms’ payoffs and customer surplus are higher under the unregulated data-sharing setup if they jointly determine the granularity of data; however, if they do not collaborate on data sharing, their payoffs, as well as customer surplus, are higher under regulation. Supplemental Material: The online appendix is available at https://doi.org/10.1287/serv.2022.0052 .
Exploring the autophagy-related pathogenesis of active ulcerative colitis
Authors: Gong Zhuo-Zhi , Li Teng , Yan He , Xu Min-Hao , Lian Yue , Yang Yi-Xuan , Wei Wei , Liu Tao 
Published: March 2024

BACKGROUND
The pathogenesis of ulcerative colitis (UC) is complex, and recent therapeutic advances remain unable to fully alleviate the condition.
AIM
To inform the development of novel UC treatments, bioinformatics was used to explore the autophagy-related pathogenesis associated with the active phase of UC.
METHODS
The GEO database was searched for UC-related datasets that included healthy controls who met the screening criteria. Differential analysis was conducted to obtain differentially expressed genes (DEGs). Autophagy-related targets were collected and intersected with the DEGs to identiy differentially expressed autophagy-related genes (DEARGs) associated with active UC. DEARGs were then subjected to KEGG, GO, and DisGeNET disease enrichment analyses using R software. Differential analysis of immune infiltrating cells was performed using the CiberSort algorithm. The least absolute shrinkage and selection operator algorithm and protein-protein interaction network were used to narrow down the DEARGs, and the top five targets in the Dgree ranking were designated as core targets.
RESULTS
A total of 4822 DEGs were obtained, of which 58 were classified as DEARGs. SERPINA1, BAG3, HSPA5, CASP1, and CX3CL1 were identified as core targets. GO enrichment analysis revealed that DEARGs were primarily enriched in processes related to autophagy regulation and macroautophagy. KEGG enrichment analysis showed that DEARGs were predominantly associated with NOD-like receptor signaling and other signaling pathways. Disease enrichment analysis indicated that DEARGs were significantly linked to diseases such as malignant glioma and middle cerebral artery occlusion. Immune infiltration analysis demonstrated a higher presence of immune cells like activated memory CD4 T cells and follicular helper T cells in active UC patients than in healthy controls.
CONCLUSION
Autophagy is closely related to the active phase of UC and the potential targets obtained from the analysis in this study may provide new insight into the treatment of active UC patients.
Low-molecular-weight heparin and preeclampsia — does the sword cut both ways? Three case reports and review of literature
Authors: Shan Dan , Li Tao , Tan Xi , Hu Ya-Yi 
Published: March 2024

BACKGROUND
Low-molecular-weight heparins (LMWH) are the most commonly used anticoagulants during pregnancy. It is considered to be the drug of choice due to its safety in not crossing placenta. Considering the beneficial effect in the improvement of microcirculation, prophylactic application of LMWH in patients with preeclampsia became a trend. However, the bleeding risk related with LMWH in preeclampsia patients has seldomly been evaluated. This current study aimed to identify the potential risks regarding LMWH application in patients with preeclampsia.
CASE SUMMARY
Herein we present a case series of three pregnant women diagnosed with preeclampsia on LMWH therapy during pregnancy. All the cases experienced catastrophic hemorrhagic events. After reviewing the twenty-one meta-analyses, the bleeding risk related with LMWH seems ignorable. Only one study analyzed the bleeding risk of LMWH and found a significantly higher risk of developing PPH in women receiving LMWH. Other studies reported minor bleeding risks, none of these were serious enough to stop LMWH treatment. Possibilities of bleeding either from uterus or from intrabdominal organs in preeclampsia patients on LMWH therapy should not be ignored. Intensive management of blood pressure even after delivery and homeostasis suture in surgery are crucial.
CONCLUSION
Consideration should be given to the balance between benefits and risks of LMWH in patients with preeclampsia.
Endoscopic ultrasound-guided tissue sampling induced pancreatic duct leak resolved by the placement of a pancreatic stent: A case report
Authors: Kim Ki-Hyun , Park Chang Hwan , Cho Eunae , Lee Yohan 
Published: March 2024

BACKGROUND
Pancreatic ductal leaks complicated by endoscopic ultrasonography-guided tissue sampling (EUS-TS) can manifest as acute pancreatitis.
CASE SUMMARY
A 63-year-old man presented with persistent abdominal pain and weight loss. Diagnosis: Laboratory findings revealed elevated carbohydrate antigen 19-9 (5920 U/mL) and carcinoembryonic antigen (23.7 ng/mL) levels. Magnetic resonance imaging of the pancreas revealed an approximately 3 cm ill-defined space-occupying lesion in the inferior aspect of the head, with severe encasement of the superior mesenteric artery. Pancreatic ductal adenocarcinoma was confirmed after pathological examination of specimens obtained by EUS-TS using the fanning method. Interventions and outcomes: The following day, the patient experienced severe abdominal pain with high amylase (265 U/L) and lipase (1173 U/L) levels. Computed tomography of the abdomen revealed edematous wall thickening of the second portion of the duodenum with adjacent fluid collections and a suspicious leak from either the distal common bile duct or the main pancreatic duct in the head. Endoscopic retrograde cholangiopancreatography revealed dye leakage in the head of the main pancreatic duct. Therefore, a 5F 7 cm linear plastic stent was deployed into the pancreatic duct to divert the pancreatic juice. The patient’s abdominal pain improved immediately after pancreatic stent insertion, and amylase and lipase levels normalized within a week. Neoadjuvant chemotherapy was then initiated.
CONCLUSION
Using the fanning method in EUS-TS can inadvertently cause damage to the pancreatic duct and may lead to clinically significant pancreatitis. Placing a pancreatic stent may immediately resolve acute pancreatitis and shorten the waiting time for curative therapy. When using the fanning method during EUS-TS, ductal structures should be excluded to prevent pancreatic ductal leakage.
Minimizing optical attribute errors for a lane departure warning system using an ultra-wide-angle camera
Authors: Kim Hyungtae , Paik Joonki 
Published: March 2024

Advanced driver assistance systems (ADAS) rely on lane departure warning (LDW) technology to enhance safety while driving. However, the current LDW method is limited to cameras with standard angles of view, such as mono cameras and black boxes. In recent times, more cameras with ultra-wide-angle lenses are being used to save money and improve accuracy. However, this has led to some challenges such as fixing optical distortion, making the camera process images faster, and ensuring its performance. To effectively implement LDW, we developed three technologies: (i) distortion correction using error functions based on the projection characteristics of optical lenses, (ii) automatic vanishing point estimation using geometric characteristics, and (iii) lane tracking and lane departure detection using constraints. The proposed technology improves system stability and convenience through automatic calculation and updating of parameters required for LDW function operation. By performing automatic distortion correction and vanishing point estimation, it has also been proven that fusion with other ADAS systems including front cameras is possible. Existing systems that use vanishing point information do not consider lens distortion and have slow and inaccurate vanishing point estimation, leading to a deterioration of system performance. The proposed method enables fast and accurate vanishing point estimation, allowing for adaptive responses to changes in the road environment.
Rapid and non-invasive detection of malaria parasites using near-infrared spectroscopy and machine learning
Authors: Sikulu-Lord Maggy T. , Edstein Michael D. , Goh Brendon , Lord Anton R. , Travis Jye A. , Dowell Floyd E. , Birrell Geoffrey W. , Chavchich Marina 
Published: March 2024

Background
Novel and highly sensitive point-of-care malaria diagnostic and surveillance tools that are rapid and affordable are urgently needed to support malaria control and elimination.

Methods
We demonstrated the potential of near-infrared spectroscopy (NIRS) technique to detect malaria parasites both, in vitro, using dilutions of infected red blood cells obtained from Plasmodium falciparum cultures and in vivo, in mice infected with P. berghei using blood spotted on slides and non-invasively, by simply scanning various body areas (e.g., feet, groin and ears). The spectra were analysed using machine learning to develop predictive models for infection.

Findings
Using NIRS spectra of in vitro cultures and machine learning algorithms, we successfully detected low densities (<10−7 parasites/μL) of P. falciparum parasites with a sensitivity of 96% (n = 1041), a specificity of 93% (n = 130) and an accuracy of 96% (n = 1171) and differentiated ring, trophozoite and schizont stages with an accuracy of 98% (n = 820). Furthermore, when the feet of mice infected with P. berghei with parasitaemia ≥3% were scanned non-invasively, the sensitivity and specificity of NIRS were 94% (n = 66) and 86% (n = 342), respectively.

Interpretation
These data highlights the potential of NIRS technique as rapid, non-invasive and affordable tool for surveillance of malaria cases. Further work to determine the potential of NIRS to detect malaria in symptomatic and asymptomatic malaria cases in the field is recommended including its capacity to guide current malaria elimination strategies.
Medical school department chair performance improvement: A qualitative study
Authors: Mahboubi Mohammad , Ahmady Soleiman , Mirzazadeh Azim , Zarei Afagh , Hamidi Hadi , Kohan Noushin 
Published: March 2024

Introduction
In medical education, department chairs should play a significant role. The present qualitative study was conducted to identify factors that influence the performance improvement of department chairs at medical schools in Iran.

Methods
The study was conducted in Iran in 2022 and used a thematic analysis method. Using a purposeful sampling method, 20 participants were invited to participate, including medical school deans and department chairs. Focus group discussion (FGD) was used for qualitative data gathering. Braun and Clarke’s thematic analysis was used to analyze data.

Results
There were 18 males and 2 females among the participants. The mean age of the participants was 45±4 years. Five overarching themes were formulated: human resource management, organizational behavior management, performance support system, leadership, and financial resources. Also, nine subthemes emerged, including performance evaluation, job and work design, educational and non-educational support, motivational efforts, organization culture, organizational knowledge management, planning for change, and financing.

Conclusions
In this study, we found factors influencing DC performance improvement. Department chairs’ effective performance may have a positive impact on department operations, processes, or outcomes.
Functional recovery prediction during rehabilitation after rotator cuff tears by decision support system
Authors: Adomavičienė Aušra , Daunoravičienė Kristina , Kazakevičiūtė-Januškevičienė Girūta , Baušys Romualdas 
Published: March 2024

BackgroundToday’s rehabilitation decision-making still relies on conventional methods and different specific targeted rehabilitation protocols. Our study focuses on the decision support system for early rehabilitation after rotator cuff (RC) tears repair, where a multicriteria decision-making framework (MCDM) is applied for the prediction of successful functional recovery and selection of a rehabilitation protocol.ObjectiveTo identify factors that affect recovery outcomes and to develop a decision support system methodology for predicting functional recovery outcomes at early rehabilitation after RC repair.MethodsTwelve rehabilitation experts were involved in the design, calibration, and evaluation of a rehabilitation protocol based on the proposed decision support system constructed using the MCDM framework. For the development of a decision support system, 20 patients after RC surgery undergoing outpatient rehabilitation were enrolled in a prospective cohort clinical trial.ResultsThe MCDM framework (SWARA method) sensitively assesses different criteria and determines the corresponding criteria weights that were similar to criteria weights assessed subjectively by rehabilitation experts. The assignment of patients into the classes, according to the heuristic evaluation method based on expert opinion and the standard qualitative evaluation methods showed the validity of MCDM methods remain the best new alternative in predicting recovery during rehabilitationConclusionsThe results of this paper show that sustainable rehabilitation is an area that is quite suitable for the use of MCDM. The most of rehabilitation protocols are based on traditional methods and approaches, but the sensitive results showed the validity of MCDM methods and remains the best new alternative in prediction recovery protocols during rehabilitation.