bluuebunny/crossref_metadata_2025_split huggingface dataset:
A new method for functional assembly plan generation and evaluation. Implementation in CapLog, an efficient software
Authors: Perrard Christophe , Lehmann Olivier , BONJOUR Eric , Zuanna Cyrille Dalla 
Published: March 2023

Abstract
Designing an assembly system is a complex task that is broken down into different steps that deal with various representations of the product, the assembly plan and the assembly process plan. Each step faces a huge combinatorial explosion problem. Many research works have focused on the generation of assembly plans. They often fail to represent the logistic functions (choice of primary/secondary subassemblies and their orientations implying specific logistic operations). The resulting assembly sequences are therefore not fully satisfactory from an operational point of view. In the 1990s, the concept of the Functional Assembly Plan (FAP) was introduced to refine the assembly plans with these key inputs that are essential to consider before proceeding with the next step concerning the assembly process plan. However, in the literature, there is no method to systematically generate, evaluate, and select the most relevant FAPs. In this paper, we propose an original semi-automated method to generate FAPs and to evaluate them. The proposed procedure is based on a branch-and-bound algorithm that allows the user to find the "best" FAP, according to predefined evaluation criteria, without evaluating each potential FAP. The proposed method combines automated steps and user's intervention to limit the phenomenon of combinatorial explosion and to make the solution explainable. This method and its associated procedure have been used to improve an existing software, CapLog, efficient for the optimization of manufacturing systems, like end-of-life systems or assembly systems. A case study is used to illustrate the steps of the proposed method.
The decreasing trend of the competitive advantage of Epichloë endophyte-infected Achnatherum sibiricum over endophyte-free plants with nitrogen addition was reversed by pathogenic fungi inoculation
Authors: Zhang Junzhen , Yu Xinhe , Qu Yaobing , Shi Xinjian , He Luoyang , Wei Xianqin , Chen Lei , Zhao Nianxi , Ren Anzhi 
Published: March 2023

Abstract
Background and aims
According to the nitrogen-disease hypothesis, plant diseases will become more serious with the aggravation of global nitrogen (N) deposition. Numerous studies have indicated that Epichloë endophytes can enhance host plant resistance to pathogens. It is unclear how the competitive ability of endophyte-infected (EI) over endophyte-free (EF) plants changes under the interference of N deposition and plant disease.
Methods
In this study, Achnatherum sibiricum, native to the Inner Mongolia steppe of China, was used as experimental material. We experimentally manipulated N addition and pathogen inoculation and examined the growth and competition between EI and EF A. sibiricum.
Results
The results showed that EI plants had a greater competitive advantage than EF plants under low N conditions, and this advantage decreased with the N supply. When high N and pathogens were both present, pathogen inoculation reversed the adverse effects of high N supply on the competitive advantage of EI A. sibiricum. Endophyte infection not only reduced the disease of EI plants but also reduced the disease of neighboring EF plants. Meanwhile, endophytes changed the response of the host disease to nitrogen. The disease index of EF plants increased with increasing leaf N content, while that of EI plants did not change.
Conclusion
This study highlights that under the dual factors of N deposition and pathogen infection, endophytic fungi improve the competitive ability of host plants. Our results show that considering both biotic and abiotic factors is crucial for predicting the dominance of plant-fungal symbionts in the community.
Social Theory Aware Influence Maximization Approach for Target Community Detection
Authors: Scholar Pawan Meena Research , Professor Mahesh Pawar Associate , Professor Anjana Pandey Associate 
Published: March 2023

Abstract
Targeted community detection is a network analysis involving identifying specific subsets or clusters of nodes (communities) within a more extensive network that are particularly relevant to a topic or phenomenon. Unlike traditional community detection methods, which aim to identify all communities within a network, targeted community detection methods focus on finding a specific community or set of communities based on some pre-defined criteria. Nevertheless, all previous effort either mainly disregards the external effect of the community or is not ”goal-based,” i.e., inappropriate for the goal request. To address this issue, we present an attribute network-oriented target community discovery technique that blends user interest preferences and community influence to mine high-quality communities associated with user preferences and have the most influence. To capture the attribute subspace weight of the possible target community and mine user preferences, the greatest k-cluster, including sample nodes, is first mined as the core of the potential target community by synthesising the node structure and attribute information. Then the fusion of the maximum k-cluster with the sample nodes is mined as the core of the potential target community. Finally, the fusion of the sample nodes defines the community’s external influence score quantifica-tion technique and combines the community quality function value with the exterior influence score. Finally, all possible target communities are ranked by their influence score. As a result, the communities with the highest overall quality become the target communities. In addition, a 2-fold pruning procedure is intended to increase the method’s performance and efficiency while calculating the attribute subspace weights of the largest k-cluster. Experimental results on synthetic and actual network datasets validate the efficiency and efficacy of the suggested strategy.
Histological transformation to signet-ring cell carcinoma in a patient with clinically aggressive poorly differentiated adenocarcinoma of the ascending colon after response to chemotherapy plus cetuximab: a case report
Authors: Nagano Hideki , Ohyama Shigekazu , Sato Atsushi , Igarashi Jun , Yamamoto Tomoko , Kadoya Masumi , Kobayashi Mikiko 
Published: March 2023

Abstract
Background
Alteration of chemosensitivity or tumor aggressiveness in response to chemotherapy has been reported, and liquid biopsy assessment during chemotherapy for colorectal cancers has confirmed the acquisition of mutations in various oncogenes. However, the occurrence of histological transformation seems to be extremely rare in colorectal cancers, and the few existing case reports of this transformation are from lung cancer and breast cancer. In this report, we describe the histological transformation of clinically aggressive scirrhous-type poorly differentiated adenocarcinoma of the ascending colon to signet-ring cell carcinoma in almost all recurrent tumors that were confirmed by autopsy after response to chemotherapy plus cetuximab.
Case presentation
A 59-year-old woman visited our hospital with whole abdominal pain and body weight loss and was diagnosed with scirrhous-type poorly differentiated adenocarcinoma of the ascending colon with aggressive lymph node metastases. The intrinsic chemosensitivity of the tumors was evident upon initiation of mFOLFOX6 plus cetuximab therapy, and right hemicolectomy was performed. The ascending colon tumors mainly consisted of poorly differentiated adenocarcinoma and were not associated with signet-ring cell components except for minute clusters in a few lymphatic emboli in the main tumor. Chemotherapy was continued, and metastases were eliminated at 8 months after the operation; this response was maintained for an additional 4 months. Discontinuation of chemotherapy plus cetuximab resulted in immediate tumor recurrence and rapid expansion, and the patient died of the recurrent tumor 1 year and 2 months after the operation. Autopsy specimens revealed that almost all of the recurrent tumors exhibited transformation and consisted of signet-ring cell histology.
Conclusion
This case suggests that various oncogene mutations or epigenetic changes resulting from chemotherapy, especially regimens that include cetuximab, contribute to the transformation of non-signet-ring cell colorectal carcinoma to signet-ring cell carcinoma histology and can promote the aggressive clinical progression characteristic of signet-ring cell carcinoma.
Resistivity measurements and water quality analysis for the assessment of the impact of Ile-Oluji waste dumpsite in Ondo State, Southwestern Nigeria, on the environment
Authors: ONI Ademakinwa George , AGUNBIADE Olufemi Joseph , OLUWAWEMIMO Miracle Anthonia , KOLAWOLE Sofiyat Idunu , AYOWOLE-OBI Ayodotun Oluwaseun 
Published: March 2023

Abstract
In this study, soil resistivity measurements and water quality analysis were carried out as a means of assessing the impact of Ile-Oluji dumpsite on the environment. Resistivity measurements were made on radially established traverses adopting 2D dipole-dipole profiling and Schlumberger depth sounding techniques. Physicochemical and microbial analyses for parameters including color, turbidity, temperature, pH, total dissolved solids (TDS), conductivity, hardness, major ions, total coliform, and E.coli were performed on surface and groundwater samples. The underlying geologic layers were topsoil, laterite, weathered layer, partly weathered/fractured basement, and fresh bedrock. Indication of subsoil contamination and by extension the groundwater was observed from contrasting geoelectric characteristics of the area within and outside the waste dump. Relatively low resistivities (< 78 Ωm) defined the leachate contaminated zone to depth extent of > 25 m and a distance > 50 m beyond the waste boundary, including a nearby stream. Leachate migration was aided by the surface topographic dip and groundwater flow in the north and northeastern directions and through basement fractures/faults. The concentrations of major pollution indicators like conductivity, TDS, hardness, chloride, magnesium, calcium, potassium, E.coli exceeded standard thresholds for potable water quality and were at least 10 times more within the contaminated zone than in samples at control locations. All the water samples were fecal contaminated having E.coli of 6–95 CFU/100 ml counts. The results showed that the environment around the dumpsite had been significantly polluted and the level of pollution raised an intermediate to high public health safety risk that requires high action priority.
Determination of the incidence of hyperoxia and the effectiveness of oxygen reserve index guided FiO2 titration in preventing hyperoxia.
Authors: Sarıtaş Pelin Uzun , Aykut Sarıtaş , Merve Çetin , Gaye Aydın 
Published: March 2023

Abstract
Background
Although pulse oximetry technology, which is considered the standard of care to ensure optimum oxygenation, is indispensable in clinical practice, especially in the detection of hypoxemia, it has some limitations in the detection of hyperoxemia. Oxygen Reserve Index (ORi™, Masimo Corp., Irvine, CA, USA) can provide clinicians with a crucial pathway in detecting and preventing hyperoxia, noninvasively. Our aim in this study is to determine the hyperoxia detection ability of ORi and to investigate the effectiveness of ORi and SpO2-guided FiO2 titration in preventing hyperoxia.
Material and Methods
In this prospective, randomized study, patients who would undergo major abdominal surgery were divided into two groups as the control group and the SpO2 + ORi group. In the SpO2 + ORi group, FiO2 titration was performed by trying to maintain the ORi between 0.00 and 95%<SpO2 ≤ 98%. In both groups, patients' SpO2, ORi, PaO2, PaCO2, PEEP, FiO2, and hemodynamic parameter values were recorded before induction, 10 minutes after intubation, and every hour during the operation.
Results
In the Ori + SpO2 group, a high level of positive linear relationship of 75.8% was found between PaO2 and ORI (p < 0.001). While moderate hyperoxia was observed in six people in the control group, it was not observed in the ORI + SpO2 group (3rd hour). In ORI + SpO2 group with FiO2 titration, PaO2 values decreased significantly over time (p < 0.001). The optimal cut-off ORi value, which can detect PaO2 ≥ 150 mmHg, was found to be 0.23 (Sensitivity = 100% Selectivity = 72.2%).
Conclusion
The combined use of SpO2 and ORi has been demonstrated to successfully guide FiO2 titration for optimal oxygenation and reduce hyperoxia.
Arbuscular mycorrhizal fungi influence decomposition and the litter microbial community under saline-alkali conditions
Authors: Liu Hui , Zhang Jiazhen , Zhang Luying , Zhang Xi , Yang Rui 
Published: March 2023

Abstract
Recent studies have indicated that arbuscular mycorrhizal fungi (AMF) can influence decomposition of organic materials. However, the underlying mechanisms remain unclear. Here we investigated whether AMF influence the decomposition of leaf litters and change the associated litter bacterial and fungal communities and whether this effect is altered by the level of soil saline-alkali. A pot experiment was conducted using Trifolium repens as host plant without or with AMF (Funneliformis mosseae) and with two levels of soil saline-alkali (0 and 200 mmol/L). Litterbags with different mesh size were used to measure the effect of AMF on decomposition. Our study found that AMF significantly accelerated litter decomposition under both non-saline-alkali and saline-alkali conditions. The composition of bacterial and fungal communities were also altered by AMF independent of soil saline-alkali conditions. For bacterial community, AMF increased the richness but not the diversity and increased the relative abundance of Firmicutes and Nitrospirota. For fungal community, the richness and diversity were higher in AMF than in non-AMF treatment. And AMF significantly resulted in a decrease of the relative abundance of Ascomycota but an increase of the relative abundance of Basidiomycota, Chytridiomycota, Mortierellomycota and Rozellomycota. Structural equation modelling (SEM) showed that AMF increased litter decomposition under saline-alkali conditions primarily by affecting bacterial community composition. Together, we show that AMF increase decomposition and alter the bacterial and fungal communities, and that these effects are not modulated by the level of soil saline-alkali.
Machine Learning Models for the Prediction of the Compressive Strength of Self-compacting Concrete
Authors: G Nahushananda Chakravarthy H , S Karthik M , Naganna Sujay Raghavendra 
Published: March 2023

Abstract
Self-compacting Concrete (SCC) is a special form of high-performance concrete that is highly efficient in its filling, flowing, and passing abilities. In this study, an attempt has been made to model the compressive strength (CS) of SCC mixes using machine learning approaches. The SCC mixes were designed considering light-weight expandable clay aggregate (LECA) as a partial replacement for coarse aggregate, ground granulated blast furnace slag (GGBS) as a partial replacement for binding material (cement), and incinerated bio-medical waste ash (IBMWA) as a partial replacement for fine aggregate. LECA, GGBS, and IBMWA were replaced with coarse aggregate, cement, and fine aggregate at different substitution levels of 10%, 20%, and 30%. The M30 grade SCC mixes were designed for two different water/binder ratios – 0.40 and 0.45 and the CS of SCC mixes was experimentally determined along with the fresh state properties assessed by slump flow, L-box, J-ring, and V-funnel tests. The CS of SCC mixes so obtained from the experimental analysis was considered for machine learning (ML) based modeling using paradigms such as Artificial Neural Network (ANN), Gradient Tree Boosting (GTB), and Cat-Boost Regressor (CBR). The ML models were developed considering the compressive strength of SCC as the target parameter. The quantities of materials (in terms of %), water to binder ratio, and density of SCC specimens were used as input variables to simulate the ML models. The results from the experimental analysis show that the optimum replacement percentages for cement, coarse, and fine aggregates were 30%, 10%, and 20%, respectively. The ML models were successful in modeling the compressive strength of SCC mixes with higher accuracy and the least errors. The CBR model performed relatively better than the other two ML models, with relatively higher efficiency (KGE=0.9671) and the least error (mean absolute error = 0.52) during the testing phase.
Can a Mobile Game-like Intervention Help Women with Anxiety and Depression? Examining real world data of ‘OCD.app - Anxiety, Mood &amp; Sleep’
Authors: Gamoran Avi , Brunstein-klomek Anat , Doron Guy 
Published: March 2023

Abstract
Anxiety and depression symptoms are a significant mental health challenge for women in the reproductive age and midlife. Cognitive behavioral therapy (CBT) based mobile health (mHealth) interventions may be a viable solution for addressing the treatment gap for women at these ages. We collected real world data of women using the CBT based app “OCD.app - Anxiety, Mood & Sleep” from October 2020 to January 2023. Women’s levels of anxiety (GAD-7) and depression (PHQ-9) were evaluated prior to the intervention (T0), at the payment barrier (T1), and upon completion of the intervention (T-Final). Women’s dropout rates were associated with younger age and more severe symptoms. Large effect-size reductions were found at T1 (n = 1,554; Cohen’s d = 0.702) and T-Final (n = 491; Cohen’s d = 0.774) with 37.9% reaching clinically significant improvement in anxiety symptoms (GAD-7 change > 4). Similar analyses of women’s PHQ-9 scores indicated small effect-size reductions at T1 (n = 512; Cohen’s d = 0.34) and moderate effect-size decreases at T-Final (n = 140; Cohen’s d = 0.489) with 23.6% of women reaching clinically significant improvement in depression symptoms (PHQ-9 change > 5). Results support the effectiveness of brief CBT-based mHealth interventions for women with depression and anxiety symptoms in real world settings.
Study on Reasonable Pouring Sequence of Concrete in Tube of Long Span CFST Arch Bridge
Authors: Zhou Disong , Wei Hua , Ma Wenhui , Nong Qifeng , Fu Liuyuan 
Published: March 2023

Abstract
Concrete pouring in the tube is one of the key procedures in the construction of concrete-filled steel tube arch bridges. Different pouring schemes greatly impact the internal force, displacement, and stability of the arch rib, and even affect the safety of the bridge structure during operation. To explore a reasonable pouring sequence of concrete in the tube, based on the principle of structural potential energy, this paper proposes a method to use the potential energy of the arch rib under the condition of the main arch bridge as a quantitative index to evaluate the quality of the pouring sequence of concrete in the tube. Based on four concrete-filled steel tube arch bridges with spans of 340 ~ 575 m, the finite element program MIDAS/civil 2019 is used to establish the simulation analysis model of the bridge, and the potential energy of the arch rib under 24 perfusion schemes is analyzed. The results show that the arch rib structure is different, and the optimal pouring sequence is also different For the half-through concrete-filled steel tube arch bridge, the optimal pouring sequence is the outer side of the top chord — the inner side of the top chord — the outer side of the bottom chord — the inner side of the bottom chord; For the deck concrete-filled steel tube arch bridge, the optimal pouring sequence is the inside of the top chord — the outside of the bottom chord — the inside of the bottom chord — the outside of the top chord. The analysis results in this study can be used for reference for the construction of the same type of bridge.
Implications of pricing and fleet size strategies on shared bikes and e-scooters: a case study from Lyon, France
Authors: Manout Ouassim , Diallo Azise-Oumar , Gloriot Thibault 
Published: March 2023

Abstract

In many cities, shared micromobility services (SMMS) have become popular. These services contribute to the popularity of car-alternative mobility by promoting the use of micro-vehicles. Bike-sharing and e-scooter-sharing systems are examples of these services. Despite their potential, the share of SMMS is still marginal. To unlock their full potential, policymakers and service providers need to comprehend the wider implications of their strategies on the adoption, use, and profitability of these services.
This paper investigates the implications on travel demand, use patterns, and business profit of two strategic decisions: the size of the fleet and the pricing of shared bikes and e-scooters. This research relies on an agent-based transport simulation framework and trip records of shared bike and e-scooter users from the city of Lyon, France.
The results show that despite their actual marginal share, SMMS have a non-negligible growth potential in Lyon. This potential is actually unfulfilled due to sub-optimal pricing and fleet size strategies. More optimal strategies from the point of view of service providers and customers are discussed in the paper. These findings can be generalized to other cities and shared micromobility services. They can also interest policymakers and service providers in the design and operation of successful and efficient SMMS.
Molecular detection and phylogenetic analysis of Trypanosoma evansi infections in dogs from Punjab state, India
Authors: Kaur Harkirat , Singh Harkirat , . Jyoti , Singh Nirbhay Kumar 
Published: March 2023

Abstract
Background
Trypanosoma evansi, an extracellular flagellated protozoon, is a predominant haemoparasite in tropical and sub-tropical regions of the world, mechanically transmitted by hematophagous flies. The parasite has a broad host range and dogs are considered highly susceptible to the infection. Here, we studied the application of RoTAT 1.2 PCR assay as a sensitive and specific diagnostic assay for detection of this pathogen.
Methods and results
The prevalence of T. evansi infection in dogs was evaluated by screening 482 blood samples collected from various districts of Punjab state, India by microscopy and PCR assay targeting RoTat 1.2 gene sequence. Microscopy revealed the prevalence of T. evansi infection as 0.21% (1/482) whereas with PCR assay 1.45% (7/482) dogs showed positivity. The kappa value statistics revealed ″fair″ agreement between PCR assay and microscopy and the data was statistically significant (P < 0.05). Assessment of various risk factors like age, breed, location, season and sex revealed non-significant correlation with prevalence of canine trypanosomosis by PCR assay except for age by microscopy (P < 0.05). The ancestral background of the field isolates of T. evansi was also studied by phylogenetic analysis of their nucleotide sequences which revealed nucleotide variation ranging from 0.00 to 1.19%.
Conclusions
RoTat 1.2 gene-based PCR assay proved to be highly sensitive, specific, and affordable diagnostic test for use by clinicians to save the life of our pets.