bluuebunny/crossref_metadata_2025_split huggingface dataset:
Causes of Death in Patients with a History of Severe Anorexia Nervosa
Authors: Westmoreland Patricia , Duffy Alan , Rienecke Renee , Grange Daniel Le , Joiner Thomas , Manwaring Jamie , Watters Ashlie , Mehler Philip 
Published: October 2022

Abstract
Objective:
This study reports causes of death for a cohort of 35 patients with severe anorexia nervosa (AN), who were treated between 2012 and 2020, and descriptive information on their medical and psychological comorbidities is provided.
Methods:
Three hundred and seventy patient names were submitted to the National Death Index (NDI). The NDI reviewed whether a death certificate matching each patient’s identifying information existed, and if it existed, specific causes of death were noted. The original group of 370 patients consisted of 229 individuals who had been treated voluntarily and 141 who had been treated involuntarily.
Results:
Thirty-five patients from the 370 (0.09%) submitted to the NDI were confirmed deceased. Most (83%) were female with an average age of 38.5 years (SD:12.7) and average body mass index (BMI) of 12.8 kg/m² (SD:2.4). The total number of patients with AN listed as a cause of death was 24 (69%). Two patients died as a result of suicide. Twenty-eight (80%) of the patients had a specific medical disease listed as a cause of death, with the most frequent being cardiovascular, metabolic, or gastrointestinal.
Conclusions:
AN is associated with a substantial risk of death from many medical causes. However, two (5.7%) of our sample died by suicide, a rate considerably lower than previously reported.
Impact of Sumadhur intervention on fertility and family planning decision-making norms: A mixed methods study
Authors: Mitchell Ashley , Puri Mahesh , Dahal Minakshi , Cornell Alia , Upadhyay Ushma , Diamond-Smith Nadia 
Published: October 2022

Abstract
Background

Mindful of social norms shaping health among women pressured to prove early fertility in Nepal, a bi-national research team developed and piloted a 4-month intervention engaging household triads (newly married women, their husbands, and mothers-in-law) toward advancing gender equity, personal agency, and reproductive health. This study evaluates the impact on family planning and fertility decision-making.

Methods

In 2021, Sumadhur was piloted in six villages with 30 household triads (90 participants). Pre/post surveys of all participants were analyzed using paired t-tests and in-depth interviews with a subset of 45 participants were transcribed and analyzed thematically.

Results

Sumadhur significantly impacted (p < .05) norms related to pregnancy spacing and timing, and sex preference of children, as well as knowledge about family planning benefits, pregnancy prevention methods, and abortion legality. Family planning intent also increased among newly married women. Qualitative findings revealed improved family dynamics and gender equity, and shed light on remaining challenges.

Conclusions

Entrenched social norms surrounding fertility and family planning contrasted with participants’ personal beliefs, highlighting needed community-level shifts to improve reproductive health in Nepal. Engagement of influential community- and family-members is key to improving norms and reproductive health. Additionally, promising interventions such as Sumadhur should be scaled up and reassessed.
Studying Omega-nucleon-nucleon three-body states by realistic nucleon-nucleon and first principles Lattice QCD Omega-nucleon potentials in the cluster model
Authors: Etminan Faisal , Sanchuli Zahra 
Published: October 2022

Abstract
The Faddeev equations in coordinate space are solved to study the Omega-nucleon-nucleon and Omega-Omega-nucleon three-body systems using the latest Omega-nucleon and Omega-Omega interactions developed by the HAL QCD Collaboration (Omega is a decouplet baryon consists three strange quark). We calculate the binding energy of the Omega-nucleon-nucleon system by examining three nucleon-nucleon (NN) potentials, i.e., modern realistic AV18 potential, Yukawa-type Malfliet-Tjon (MT) interaction, and Gogny-Pires-Tourreil (GPT) soft and local potential. We take into account the contribution of the Coulomb potential. Our numerical calculations for Omega-deuteron in maximum spin 5/2+ leads to ground state binding energy of 20.953, 19.368, and 20.439 MeV and matter radius of 1.097, 1.373, and 1.309 fm using MT, GPT, and AV18 NN potentials, respectively. In the case of Omega-deuteron (0)5/2+ system, our numerical analysis shows that considering higher partial waves than s wave in NN interactions leads to an increase of about 0.2 MeV using GPT and about 0.1 MeV reduction with AV18 potentials. We study the convergence of three-body binding energies in a cluster model using the hyperspherical harmonics method and investigate the geometrical properties of Omega-deuteron (0)5/2+ ground states.
Inflated endoplasmic reticulum and autophagy induction promoted death in aggressive cancer cells grown in adherent and in-vitro CTC conditions.
Authors: Khan Sameer Ullah , Fatima Kaneez , Singh Umed , Singh Parvinder Paul , Malik Fayaz 
Published: October 2022

Abstract
Cancer metastasis is the leading cause of death in cancer patients and is a major challenging aspect of cancer biology. Various adaptive molecular signaling pathways play a crucial role in cancer metastasis and later in the formation of secondary tumors. Aggressive cancer cells like Triple Negative breast cancer (TNBCs) are more inclined to undergo metastasis hence having a high recurrence rate and potential for secondary tumor formation. Such aggressive cancer cells have fewer treatment options available with poor prognoses. Metastatic cells in circulation known as circulating tumor cells (CTCs) could be an appealing alternative target for cancer therapy with potentially better outcomes. Cell cycle regulation and stress response of CTCs in blood has a crucial role in their survival and progression and thus may be considered therapeutically active hotspots. The cyclin D/cyclin-dependent kinase (CDK) pathway regulates cell cycle checkpoints, a process that is frequently dysregulated in cancer cells. Selective CDK inhibitors can limit the phosphorylation of cell cycle regulatory proteins by inducing cell cycle phase arrest, and thus may be an effective therapeutic strategy for aggressive cancer cells in their dividing phase at the primary or secondary site. However, during the floating condition, cancer cells halt their division process and proceed through the various steps of metastasis. Our study showed that a novel CDK inhibitor 4ab besides showing anti-proliferative activity in aggressive cancer cells also induces cell death by activating endoplasmic reticulum stress and strong autophagy induction in both adherent and floating conditions which resulted in cytoplasmic vacuolation (paraptosis) and ultimately resulted in cell death. Further our results showed that 4ab efficiently induced apoptosis in aggressive cancer cells by initiating the ER-mitochondrial membrane potential loss-JNK pathway. Further, our in vivo data showed a promising inhibitory effect of 4ab on aggressive 4T1 cells in tumor formation and metastasis. The above data gave us encouraging results to consider 4ab as a potential inhibitor for anti-metastatic therapeutic intervention.
Preparation of a MOF-based molecularly imprinted polymer microsphere by a sol-gel technique and its application to the extraction and separation of aucubin from Eucommia ulmoides
Authors: Luo Xiaoyue , Xu Guoqiang , Deng Wen , Liu Meijun , Zhou Xiaohui , Xiao Zhenyi , Li Hui 
Published: October 2022

Abstract
Development of novel adsorption material for enrichment and separation of the most challenging compounds from plants is interesting. Preparation of a MOF-based aucubin imprinted polymer was performed and it was applied to the extraction and separation of aucubin from Eucommia ulmoides, a Traditional Chinese Medicine. A sol-gel method was utilized to prepared the MIPs and this imprinted material was used as the stationary phase in liquid chromatography to perform separation and extraction of aucubin from plant. Frontal chromatography technique was utilized to SPE application for the polymers. Results indicated that the imprint material (EM@MIP3) obtained under the optimized conditions possessed a high imprinting factor (6.830) and a high selectivity toward the template, with α (selectivity factor) values of 4.931, 4.896 and 3.418 relative to bugle glucoside (BG), plantain glucoside (PG) and geniposide (GP), respectively. The saturated binding capacity for the template on the EM@MIP3 column was 95.16 mg g− 1. When the EM@MIP3 column can be utilized to on-line separation of aucubin from the extract of Eucommia ulmoides, more than 85% purity of aucubin product can be obtained, with a recovery higher than 95%. The proposed method also has a detection limit and a quantitation limit of 0.167 and 0.547 mg kg− 1 in the application to sample analysis, with a high analysis repeatability. In addition, the reusability for the EM@MIP3 polymer was satisfactory. This imprint material is expected to be developed into an efficient adsorption media for the separation and purification of natural product from plants.
Adaptation of Chinese perch (Siniperca chuatsi) to different levels of dietary carbohydrates
Authors: Zhang Qiwei , Zhang Yanpeng , Feng Hexiong , Liang Xu-Fang 
Published: October 2022

Abstract

This study was conducted to investigate the effects of dietary carbohydrate on growth performance, feed utilization, proximate compositions, and hepatic glucolipid metabolism in Chinese perch. Triplicate groups of Chinese perch (29.51 ± 0.24 g) were fed five isonitrogenous and isolipidic diets containing graded levels of carbohydrate (2.4%, 9.7%, 16.5%, 23.9%, and 30.1%) for 8 weeks. The results showed that 10.93% dietary carbohydrate level provided a maximum growth for Chinese perch based on second-order polynomial regression analysis of specific growth rate (SGR). Compared to 2.4%-carbohydrate group, moderate-carbohydrate (9.7%) group exhibited the increase in daily weight gain (DWG) and protein retention ratio(PER), and the decrease in feed conversion efficiency (FCR). Moreover, moderate-carbohydrate group showed the increase in the mRNA levels of phosphofructokinase (pfk) and citrate synthase (cs) involved in aerobic oxidation pathway, the increase in hepatic glycogen content, and no change in glucose level. Above results suggested that part carbohydrates may be converted into energy for growth by aerobic oxidation pathway, and the remaining carbohydrates may be converted into glycogen for storage to maintain glucose homeostasis in Chinese perch fed with moderate-carbohydrate diet. Differently, high-carbohydrate (23.9% and 30.1%) group showed the decrease in DWG and PER, and the increase in FCR,compared to 2.4%-carbohydrate group. Additionally, high-carbohydrate group presented the increase in the mRNA levels of glucose-6-phosphatase a (g6pca) and pyruvate carboxylase (pc) involved in gluconeogenesis, which caused the increase in plasma glucose level. However, other plasma indices related to TG-metabolite and its transport (total triglyceride, total cholesterol, and low-density lipoprotein) did not show difference, which combined with elevated fatty acid synthesis-related gene acetyl coA carboxylase α (accα) mRNA level resulted in excessive liver lipid deposition. Above results indicated that unregulated gluconeogenesis and invalidoutward transportation of liver TG-rich metabolites may account for the glucose intolerance of Chinese perch fed with carbohydrate-rich diet.
Localized wave solutions to a variable-coefficient coupled Hirota equation in inhomogeneous optical fiber
Authors: Song Ni , Shang H. J. , Zhang Y. F. , Ma W. X. 
Published: October 2022

Abstract
Higher-order localized waves for a variable-coefficient coupled Hirota equation describes the vector optical pulses in inhomogeneous optical fiber and are investigated via generalized Darboux transformation in this work. Based on its Lax pair and seed solutions, the localized wave solutions are calculated, evolution plots are constructed, and the dynamics of the obtained localized waves are analyzed through numerical simulation. It is observed that the first- and second-order localized waves interact with dark-bright solitons or breathers, and the functions α(t), β(t), and δ(t) determine the propagation shape of the localized waves. The presented results contribute to enriching the dynamics of localized waves in inhomogeneous optical fiber. Keywords: variable-coefficient coupled Hirota equation; generalized Darboux transformation; soliton; breather
Overexpression of chloroplastic Zea mays NADP-malic enzyme (ZmNADP-ME) confers tolerance to salt stress in Arabidopsis thaliana
Authors: Kandoi Deepika , Tripathy Baishnab C. 
Published: October 2022

Abstract
Plants with C4 photosynthesis efficiently assimilate CO2 under stress conditions. To probe this idea further, the cDNA of decarboxylating C4 gene, for the NADP-malic enzyme from Zea mays (ZmNADP-ME), was overexpressed in Arabidopsis thaliana under the control of 35S promoter. The amino acids and protein contents in the transgenics were lower than in the vector control (VC). In the transgenics, the decarboxylation of malate to pyruvate resulted in reduced presence of 4-carbon acids that serve as the carbon backbone for amino acid synthesis. Consequently, amino acid and protein content were lower in the transgenics than in the VC. As a result, the photosynthetic efficiency (Fv/Fm), electron transport rate (ETR), carbon assimilation rate, overall quantum yield and starch content were reduced in the transgenics. These resulted in lower Chl content, rosette diameter, fresh weight and dry weight of the transgenics than that of the VC. Conversely, the transgenics had higher photosynthetic rate under salt stress. The overexpressers had higher Chl and protein content, Fv/Fm, ETR, and biomass than the VC grown under 150mM NaCl. NADPH generated due to the overexpression of NADP-ME in the overexpressers must have been used to synthesize proline that protected plants from reactive oxygen species, increased glutathione peroxidase activity and decreased H2O2 content in the transgenics. The reduced membrane lipid peroxidation and lower malondialdehyde production resulted in better preservation of thylakoid integrity and membrane architecture in the transgenics under saline environment. Our results demonstrate the vital role of C4 gene(s) in protecting plants form abiotic stress.
A multi-factory collaborative iterated greedy algorithm for distributed flowshop scheduling with blocking constraint
Authors: Zhang Chenyao , Han Yuyan , Wang Yuting , Li Junqing , Gao Kaizhou 
Published: October 2022

Abstract
Due to the multiple factory production pattern is becoming increasingly apparent, the distributed permutation flowshop scheduling problem (DPFSP) and its extension are studied. In this study, we consider the no buffers between adjacent machines and the setup time of adjacent jobs in DPFSP, and formed a distributed blocking flowshop scheduling problem with sequence-dependent setup times, called DBFSP_SDST. To better study this problem, we first construct mixed-integer linear programming (MILP) and verify the correctness of MILP by using the Gurobi solver. Then, we proposed a multi-factory collaborative iterated greedy algorithm, called mIG to solve the above-formulated model. In mIG, a rapid initialization strategy is proposed to generate a solution with high quality by using refresh accelerated calculation. Two iterative processes are designed with a certain probability to increase the diversity of solutions. Furthermore, according to the distributed characteristic, cross-factory and factory-inner strategies are proposed in iterative process II, the two strategies cooperate with each other to generate new solutions, which balances the exploration and exploitation of the algorithm. Numerous experiments have been conducted to test the performance of mIG, and the computational results demonstrate that mIG has obvious superiority over the state-of-the-art algorithms for DBFSP_SDST.
Towards Data Fusion based Big Data Analytics for Intrusion Detection
Authors: Jemili Farah 
Published: October 2022

Abstract
Intrusion detection is seen as the most promising way for computer security. It is used to protect computer networks against different types of attacks. The major problem in the literature is the classification of data into two main classes: normal or intrusion. To solve this problem, several approaches have been proposed but the problem of false alarms is still present. To provide a solution to this problem, we have proposed a new intrusion detection approach based on data fusion. The main objective of this work is to suggest an approach of data fusion based Big Data analytics in order to detect intrusions; It is to build one dataset which combines various datasets and contains all the attacks’ types. This research consists in merging the heterogeneous datasets and removing redundancy information using Big Data analytics tools: Hadoop and Neo4j. In the next step, machine learning algorithms are implemented for learning. The first algorithm, called SSDM (Semantically Similar Data Miner), uses fuzzy logic to generate association rules between the different item sets. The second algorithm, called K2, is a score-based greedy search algorithm for learning Bayesian networks from data. Experimentation results prove that - in both cases - data fusion contributes to have very good results in terms of detection rates and false alarms.
Modeling interfacial tension of heptane + alcohol mixtures using cubic plus association equation of state plus simplified gradient theory
Authors: Hernández Ariel 
Published: October 2022

Abstract
This work has been dedicated to modeling the interfacial tension of the heptane + alcohol mixtures in the temperature range of 288.15 K to 333.15 K. The cubic plus association equation of state is applied to the liquid - vapor phase equilibrium calculations. The binary interaction parameters are obtained according to the experimental isothermal and isobaric phase equilibrium data. For the binary interaction parameters, correlations have been obtained as a function of temperature for isothermal phase equilibrium, and a constant value for isobaric phase equilibrium. The linear gradient theory is used as a predictive and adjustment approach to describe the interfacial tension of the heptane + alcohol mixtures. The influence parameters of the pure components and the symmetric parameters of the binary mixtures were correlated with the temperature. The results of this work show that the cubic plus association equation of state is capable of simultaneously representing the phase equilibrium and interfacial tension of the mixtures studied. The results obtained in the interfacial tension are in agreement with those published in the literature.
Numerical Investigation of the Regional Climate Effect of the Lake Nasser
Authors: Xiong Zhe , Wang Ping , Dai Xingang , Ramah Mohamed , Wahab Magdy Abdel 
Published: October 2022

Abstract
Lake Nasser is the largest artificial reservoir in the world, with a water area of about 5000–6000 km2. This study aims to investigate the impact of the Lake on the local or regional climate in Upper Egypt with its surroundings using a high-resolution regional climate model. The numerical experiment is conducted with the RIEMS model with a boundary condition constrained by reanalysis ERA5 for 2010–2012. Two experiments are performed with and without the lake at the surface. The results show that the lake plays a role similar to a smooth, wet, cooling island in the hot desert. The cooling comes from lake water evaporation, which decreases the daily temperature difference resulting from the drop in daily maximal temperature and increase in minimum temperature. The smoothness of the lake water has the surface moisture flow accelerated and has local potential precipitation decreased and increased farther with additional northward moisture flows near the surface induced by the lake. Finally, the mechanism of the lake's impact is explored with the difference in horizontal moisture flux represented by the streamlines, whose pattern approximately coincides with the corresponding precipitation difference during the period. The main finding is that the lake has a significant impact not only on the local climate but also on regional climate, especially regional precipitation. It leads to an additional decrease in precipitation over the lake basin and an increase farther from the basin. This is the first time that a regional climate effect of an artificial lake has been proved by numerical experiment.
Evaluation of rock burst intensity of cloud model based on CRITIC method and order relation analysis method
Authors: Zhang Qianjun , Liu Chuanju , Guo Sha , Wang Wentong , Luo Haoming 
Published: October 2022

Abstract
Rock burst has always been a major problem for deep underground engineering with high stress. In order to effectively predict and evaluate rock burst intensity grade of underground rock mass engineering. In this paper, a cloud model (CM) rock burst intensity evaluation method based on CRITIC method and order relation analysis method (G1) is established. Firstly, the rock's uniaxial compressive strength σc, tangential stress σθ, uniaxial tensile strength σt, ratio of uniaxial compressive strength to tensile strength σc/σt (brittleness coefficient), ratio of tangential stress to uniaxial compressive strength σθ/σc (stress coefficient), elastic deformation energy index Wet and buried depth H are selected as evaluation indexes of rock burst intensity. 95 groups of rock burst measured data at home and abroad are selected, and the objective weight and subjective weight of each index are calculated by using CRITIC method and G1 method respectively. The combined weighting method of game theory is used to calculate the final weight and analyze the sensitivity of each evaluation index. MATLAB software was used to calculate the membership degree of different rock burst grades, and compared with the evaluation results of CRITIC-CM method and G1-CM method and the actual grades. And the rock burst classification ability of the model is analyzed. Finally, the rock burst case of W39 line in Chengchao Iron Mine was analyzed by using this model. The research results show that the rock burst evaluation results based on CRITIC-G1-CM are basically consistent with the actual rock burst grade, and the rock burst intensity grade evaluation model has good practicability and reliability.
Research on ICT Development and Training for Teachers in the Western Province of Sri Lanka.
Authors: de Silva Arosha , de Silva Arosha 
Published: October 2022

Abstract
This research aims to evaluate the outcome of felicitating the ICT training and development program for teachers in the western province of Sri Lanka. Teachers face many challenges and drawbacks in teaching in a technologically advancing world. Due to the lack of technological knowledge and skill, teachers are unable reach their highest potential in the field of teaching. This actionresearch reviews the development of the teacher’s knowledge and skill in ICT. For this study, teachers were able to give an account of their experiences in the ICT training and development program. A mixed method of data collection and analysis was used for this research, first a qualitative method followed by a quantitative method. Through the findings of this research it was revealed that a majority of teachers had benefited from the ICT training and development program thereby it is necessary that measures be taken to conduct more ICT training and development programs for teachers. Teachers who had undergone ICT training and development were better equipped and confident to face the technologically advancing education system.