bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction
Authors: Zhou Qiang , Gu Jingjing , Lu Xinjiang , Zhuang Fuzhen , Zhao Yanchao , Wang Qiuhong , Zhang Xiao 
Published: September 2022

Potential crowd flow prediction for new planned transportation sites is a fundamental task for urban planners and administrators. Intuitively, the potential crowd flow of the new coming site can be implied by exploring the nearby sites. However, the transportation modes of nearby sites (e.g. bus stations, bicycle stations) might be different from the target site (e.g. subway station), which results in severe data scarcity issues. To this end, we propose a data-driven approach, named MOHER, to predict the potential crowd flow in a certain mode for a new planned site. Specifically, we first identify the neighbor regions of the target site by examining the geographical proximity as well as the urban function similarity. Then, to aggregate these heterogeneous relations, we devise a cross-mode relational GCN, a novel relation-specific transformation model, which can learn not only the correlation but also the differences between different transportation modes. Afterward, we design an aggregator for inductive potential flow representation. Finally, an LTSM module is used for sequential flow prediction. Extensive experiments on real-world data sets demonstrate the superiority of the MOHER framework compared with the state-of-the-art algorithms.
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs
Authors: Hwang Jena D. , Bhagavatula Chandra , Le Bras Ronan , Da Jeff , Sakaguchi Keisuke , Bosselut Antoine , Choi Yejin 
Published: September 2022

Recent years have brought about a renewed interest in commonsense representation and reasoning in the field of natural language understanding. The development of new commonsense knowledge graphs (CSKG) has been central to these advances as their diverse facts can be used and referenced by machine learning models for tackling new and challenging tasks. At the same time, there remain questions about the quality and coverage of these resources due to the massive scale required to comprehensively encompass general commonsense knowledge.

In this work, we posit that manually constructed CSKGs will never achieve the coverage necessary to be applicable in all situations encountered by NLP agents. Therefore, we propose a new evaluation framework for testing the utility of KGs based on how effectively implicit knowledge representations can be learned from them.

With this new goal, we propose Atomic 2020, a new CSKG of general-purpose commonsense knowledge containing knowledge that is not readily available in pretrained language models. We evaluate its properties in comparison with other leading CSKGs, performing the first large-scale pairwise study of commonsense knowledge resources. Next, we show that Atomic 2020 is better suited for training knowledge models that can generate accurate, representative knowledge for new, unseen entities and events. Finally, through human evaluation, we show that the few-shot performance of GPT-3 (175B parameters), while impressive, remains ~12 absolute points lower than a BART-based knowledge model trained on Atomic 2020 despite using over 430x fewer parameters.
Entre la inmanencia y la "cosa misma": en torno a la quinta investigación lógica de Husserl (continuación)
Authors: Rizo-Patrón Rosemary 
Published: September 2022

Entre los múltiples temas de la fenomenología, el de la intencionalidad es un concepto clave que permite tentar una interpretación del significado del pensamiento husserliano respecto de su difícil relación con la modernidad y de su puesto en la filosofía contemporánea. La presente contribución sigue las huellas de ese concepto en la obra temprana de Edmund Husserl. Paralelamente, aborda la posición de Husserl respecto de la equívoca noción de "conciencia" o "subjetividad" la que, siguiendo ciertas concepciones de la modernidad, se venía entendiendo hacia fines del siglo XlX como "inmanencia" o "presencia a sí". Algunos textos tempranos de Husserl son puestos en relación con la primera edición de su "Quinta Investigación Lógica" (1901), por ser éste el "lugar" en el que se halla expuesta, de modo quizás privilegiado, la tensión husserliana entre la "tradición" y la "cosa misma"
Sub-axillary cosmetic incision VS single-incision thoracoscopic surgery for primary spontaneous pneumothorax
Authors: Zheng Yuan-Liang , Huang Ri-Sheng 
Published: September 2022

Abstract
Background

Recently, single-incision thoracoscopic surgery (SITS) has gained attention as an optimal treatment for the primary spontaneous pneumothorax (PSP). However, most SITS techniques use in the fourth to sixth intercostal space between the anterior axillary and mid axillary lines. To find out more concealed incisions, this study performed PSP surgery with the sub-axillary cosmetic incision (SACI) technique.

Methods

A total of 128 patients with PSP underwent video-assisted thoracoscopic surgery (VATS) at our institution between January 2017 and January 2019. These patients were evaluated and divided into SACI (n = 21) and SITS group (n = 57). Propensity score matching (PSM) was performed based on the patient’s backgrounds, and the enrolled cohort was divided into 21 pairs. The incision satisfaction was analyzed at 2 weeks and 6 months post-surgery.

Results

Twenty-one pairs with baseline characteristics matched into the two groups had no significant differences in their backgrounds and surgical results. However, the operation time was longer in the SACI group than in the SITS group (p = 0.013). There were no post-operative complications found in both groups. The incision satisfaction score in the SACI group was lower than the SITS group at 2 weeks and 6 months, and the difference was statistically significant (respectively, p = 0.022 and p = 0.039). There were no recurrences of ipsilateral pneumothorax in both groups.

Conclusions

SACI is a safe and feasible surgical method for the treatment of PSP. In addition, incision concealment can be used based on the choice for patients with incision needs.
A Novel Approach in Cloud based IoT Devices using Rough Set Method for Ensuring Security
Authors: M.R Sheeba , G Suganthi 
Published: September 2022

Abstract
The quick development and reception of Internet of Things (IoT) innovations in areas of life are challenged by the assets compelled IoT gadgets. Be that as it may, because of the absence of adequate registering and capacity assets devoted to the handling and capacity of tremendous volumes of the IoT information, it will in general take on a cloud-based architecture to resolve the issues of resource limitations. Consequently, a progression of challenging security and privacy concerns have emerged in the cloud-based IoT context. In this paper, a novel structure for the security and privacy of cloud administrations is proposed. This structure essentially dependent on the working of a rough Set Method for guaranteeing security while information sharing in cloud IoT (RSM-CIoTD). The proposed RSM-CIoTD conspire guarantees secure communication between the user and cloud service provider (CSP) in a cloud based IoT. To manage unapproved users, a RSM-CIoTD conspire utilizes a registered authority (RA) which plays out a two-degree confirmation between the network substances before information sharing. The security and privacy appraisal technique utilizes minimum and maximum trust upsides of past communication. The experiments led utilizing an integrated dataset of security show that our proposed system can productively and safely store the cloud service while outperforming other security methods.
Medium Term Study of Incidence, Risk Factors and Type of Stroke in Hypertensive Patients
Authors: Han Chao , Li Xiao-yu , Zou Ji-ming 
Published: September 2022

Abstract
Our study aimed to investigate the incidence and risk factors of stroke in hypertension patients over 60 years of age, and to investigate the correlation. A retrospective analysis of 454 hypertension patients who were diagnosed through examination were divided into 4 groups, of which included group A (hypertension plus type 2 diabetes) were 4 cases, group B (hypertension plus hyperlipidemia) were 367 cases, group C (hypertension plus type 2 diabetes and hyperlipidemia) were 47 cases, and group D (hypertension) were 36cases. Every patient was given observation after definite diagnosis and treatment of 54 months, and to investigate the incidence of acute cerebral infarction, cerebral hemorrhage. There were 44 patients occurred acute cerebral infarction in all 4 groups. Of these cases, there were 1 case in group A, 31 cases in group B,10 cases in group C and 2 cases in group D. In group B, 3 cases occurred cerebral hemorrhage. Logistic regression analysis showed systolic blood pressure (OR = 1.106, P = 0.001), fasting glucose (OR = 2.059, P = 0.000) and low-density lipoprotein chelesterol (LDL-C) (OR = 0.104, P = 0.025) were risk factors for stroke. Higher levels of blood glucose and/or blood lipid associate with higher risk of stroke in patients with hypertension.
Clinical application of Headache Impact test (HIT)-6 and Epworth Sleepiness Scale (ESS) for sleep apnea headache
Authors: Tabata Hiromitsu , Kinoshita Masako , Taniguchi Mitsutaka , Ooi Motoharu 
Published: September 2022

Abstract
Background
Sleep apnea headache is a major symptom accompanying obstructive sleep apnea (OSA), but relatively little evidence has been reported on the magnitude of its negative effects on patients or the evaluation of therapeutic effects. We quantitatively assessed sleep apnea headache using the Epworth sleepiness scale (ESS) and headache impact test (HIT)-6.
Methods
The first part of this study enrolled 86 patients (72 male; mean [± standard deviation] age 53.2 ± 13.8 years) who had been diagnosed with OSA by polysomnography in our sleep center and investigated the prevalence and characteristics of sleep apnea headache. The second part enrolled 21 patients (12 male; mean age, 47.5 ± 13.0 years) diagnosed with sleep apnea headache by polysomnography and/or peripheral arterial tonometry and evaluated the effects of OSA therapy on headache. Medical records including ESS, HIT-6, and polysomnographic data were retrospectively analyzed.
Results
The prevalence of sleep apnea headache among OSA patients was 22.1%, and was higher in female (50.0%) than in male (16.7%). The proportion of N3 and HIT-6 score showed a significant negative correlation (Pearson’s R = -0.51, p < 0.05). In female, median apnea-hypopnea index (AHI) was significantly lower in patients with headache (26.1 /h [interquartile range 21.4–29.6 /h]) than in patients without (54.2 /h [41.3–73.9 /h], p < 0.05, Wilcoxon rank-sum test). HIT-6 and ESS scores improved from 56.4 ± 9.7 to 45.9 ± 8.4 and from 9.0 ± 4.4 to 5.3 ± 4.2 in patients with oral appliance (OA), and from 54.3 ± 10.7 to 44.6 ± 6.1 and from 10.0 ± 4.0 to 4.9 ± 2.9 with continuous positive airway pressure (CPAP). In patients with good CPAP adherence, these scores improved from 58.1 ± 10.8 to 44.0 ± 6.0 and from 9.6 ± 3.8 to 3.6 ± 1.7.
Conclusion
Among patients with OSA, prevalence of sleep apnea headache was higher in female than in male. In female, headache was associated with relatively mild OSA. OA showed substantial effects on headache in mild to moderate OSA patients. CPAP adherence was important for improving the headache. HIT-6 score appears useful for the diagnosis and management of sleep apnea headache.
Isolation, characterization, and genome analysis of vB_SenS_TUMS_E19, a polyvalent bacteriophage against Salmonella enteritidis
Authors: Torkashvand Narges , Kamyab Haniyeh , Shahverdi Ahmad Reza , Khoshayand Mohammad Reza , Sepehrizadeh Zargham 
Published: September 2022

Abstract

Abstract
Aims: Salmonellosis is a critical, common infectious disease afflicting people and animals alike, that is caused by Salmonellabacteria. With bacteria showing resistance to antibiotics, new methods should be introduced to prevent and treat this disease. To that end, bacteriophages are promising choices.
Methods and Results: In this study, phage vB_SenS_TUMS_E19 (E19) was isolated from poultry wastewater against Salmonella enteritidis. Phage characteristics, including plaque formation, transmission electron microscopy, structural protein profile, host range, growth curve, pH and temperature stability were determined. The extracted genome was sequenced, and annotated using standard bioinformatics tools. Average Nucleotide Identity (ANI) and phylogeny were used to compare the phage genome with other Salmonella phages. Following morphological analysis, phage E19 turned out to belong to the Siphoviridae family. It worked on various strains of Salmonella but had no effect on bacteria of other genera. The burst size was approximately 156 plaque-forming units per cell (PFU per cell) and phage was stable at different temperatures as well as pH values. The genome of E19 is a linear dsDNA molecule of 42,813 bp whose G+C content stands at 49.8%. Out of 62 detected putative protein-coding genes, only 44 gene products with known functions were found in database searches. Neither tRNA genes nor genes associated with antibiotic resistance, virulence factor, and lysogeny formation were detected in the genome.
Conclusion: The E19 showed lytic activity against some Salmonella enterica serovars and Salmonella pullorum. Genome-based studies exhibited the absence of antibiotic resistance and virulence genes, indicating the safety of this phage for environmental and clinical applications.
Significance and Impact of the Study: The findings indicate that the lytic polyvalent E19 is an antibacterial agent that could control Salmonella in food samples and helps with Salmonellosis prevention and treatment.
A new method for motion accuracy allocation of mechanical transmission system based on interval intuitionistic trapezoidal fuzzy number and Meta-action theory
Authors: LI JIAN , Li Caihong , Du Yanbin , Ran Yan , Mu Zongyi 
Published: September 2022

Abstract
There are two problems in the traditional motion accuracy allocation process of mechanical transmission system: one is the error modeling process can not reflect the error formation mechanism of the system; the other is the influence of maintenance cost is ignored in the process of establishing the optimal allocation model of motion accuracy. Therefore, the meta-action theory is introduced in this paper and the meta-action unit is taken as the basic analysis unit, the error modeling of the mechanical transmission system is studied and the formation mechanism of the motion error is correctly analyzed. The factors of part manufacturing cost, assembly cost and maintenance cost of unit are comprehensively considered, and the comprehensive cost of mechanical transmission system is accurately evaluated by using multi-criteria decision making (MCDM) method. Then, based on the motion error model of mechanical transmission system, a multi-objective optimal allocation model of motion accuracy is established. The Pareto non-dominated solution set is solved by intelligent algorithm, and the optimal solution is selected by fuzzy set method to realize the allocation of motion accuracy of mechanical transmission system. Finally, the method described in this paper is illustrated by an engineering example.
The Brazilian PHC response to the COVID-19 pandemic: individual and collective comprehensiveness and performance profiles
Authors: Bousquat Aylene , Giovanella Ligia , Facchini Luiz Augusto , de Mendonça Maria Helena Magalhães , Nedel Fulvio Borges , Cury Geraldo , Mota Paulo Henrique dos Santos , Schenkman Simone , Chueiri Patricia Sampaio , Alves Maria Cecília Goi Porto 
Published: September 2022

Abstract

Background
Brazil has more than 33,000 primary health care facilities (PHCF) which could have played an important role in the fight against the COVID. Brazilian primary health care(PHC) should deal with the following axes to reduce the impact of COVID-19 on health needs: COVID-19 treatment; health surveillance; continuity of care; and social support. This article aims to analyze the performance profile of PHC during the pandemic in the five Brazilian macroregions.
Methods
A cross-sectional study was carried out as a survey format, using probability sampling of PHCF. A Composite Index was created, the Covid PHC Index(CPI). The process of creating the CPI started with the selection of the 59 most relevant questions, which were aggregated into 26 variables distributed in axes. CPI with a value equal to 100 would represent a more complete performance of the PHCF. Factor analysis revealed that the axes that encompass collective actions (Health Surveillance and Social Support) behaved in a similar manner and in contrast to those focused on individual actions (COVID-19 Treatment and Continuity of Care). Differences in the distributions of CPI components between macroregions were verified. Associations between the CPI and socioeconomic, political and health indicators of the PHCF localities were also verified.
Results
907 PHCFs participated in the survey. The PCI and its axes didn’t exceed 70, with the highest value being observed in the surveillance axis(70) and the lowest in the social support axis(59). When analyzing the dimension that articulates the practices more focused on individual care (Continuity of Care and COVID-19 Treatment), a greater value is observed in the units of the South region, when compared to those of the Northeast, and the relationship is exactly the opposite in the Collective Dimension. PHCF with the highest CPI belong to municipalities with the lowest MHDI, GDP per capita, population, number of hospitals, and ICU beds.
Conclusions
The two observed performance profiles, with different emphasis on the individual and collective dimensions, convey not only the clash of political projects that dispute the Brazilian PHC since 2016, but also the structural inequalities that exist between the different regions
Mechanistic studies of a lipase unveil a dramatic effect of pH on the selectivity toward the hydrolysis of PET oligomers
Authors: Swiderek Katarzyna , Velasco-Lozano Susana , Galmés Miquel , Olazabal Ion , Sardon Haritz , López-Gallego Fernando , Moliner Vicent 
Published: September 2022

Abstract
Plastic recycling is doubtless a realistic solution for the disposal of plastics and biocatalysis is a key enabling technology for that aim. However, despite advances done in the development of new plastic degrading enzymes, the molecular mechanisms that govern their catalytic performance are poorly understood hampering the engineering of efficient enzyme technology. In this work, we study the hydrolysis of PET oligomers catalysed by the highly promiscuous lipase B from Candida antarctica (CALB) through QM/MM molecular dynamics simulations supported by experimental Michaelis-Menten kinetics. The computational studies reveal the unknown role of the pH on the CALB regioselectivity toward the hydrolysis of bis-(hydroxyethyl) terephthalate (BHET). We exploited this insight to perform pH-controlled biotransformation that selectively hydrolyses BHET to either its corresponding diacid or monoesters using both soluble and immobilized CALB. The discoveries presented here have been exploited for the valorisation of BHET resulting from the organocatalytic depolymerization of PET.
Studying of Energy and Environmental Characteristics of Municipal Solid Waste From Shymkent City Polygon
Authors: Abilmagzhanov Arlan , Ivanov Nikolay , Kholkin Oleg , Adelbayev Iskander 
Published: September 2022

Abstract
Purpose
Study of solid household waste in large cities of Kazakhstan with the determination of the possibility of creating solid fuels based on them for heat and electricity generation. The article presents the results of studies of the morphological composition, physical and chemical parameters and the energetical potential of municipal solid waste (MSW) from the garbage landfill of the city of Shymkent.
Methods
For research, 10 samples were taken from the landfill of the city of Shymkent, which were sorted to extract the combustible fraction from each sample. Subsequently, the combustible fraction of each sample was subjected to averaging and grinding to compile point samples. Water extracts for microbiological studies were taken from three samples containing food waste.
Results
The volume-mass parameters of the samples were determined; the average density was 145.4 kg/m3. The morphological composition of the merged sample is as follows: food waste 11.07%, paper and cardboard 6.67%, polymers 30.23%, glass 2.27%, ferrous metals 6.42%, non-ferrous metals 2.52%, textiles 17.01%, wood 0.12%, hazardous waste 0.2%, leather, bones, rubber 8.8%, municipal waste residue after removal of all other components 14.66%. The humidity of the combustible fraction of samples varies from 0.3% to 2.3%. The average humidity is 1.51%.
The average ash content of the combustible fraction of the samples was determined, its value ranges from 5.9% to 33.3%, the average value is 18.4%. The yield of volatile substances was determined, the average value per the dry state was 78.7%. The gross calorific value was determined and the net calorific value was calculated, the average value of which is 24.15 MJ/kg.
The content of macro-elements in solid residues after ashing was determined. O, Na, Mg, Al, Si, P, K, Ca, Mn, Fe were found in the samples. A high content of Si, Ca, and Al was found: 3.6%, 2.0%, and 1.2% in terms of the mass of the combustible fraction, respectively.
Conclusion
10 spot and combined samples of municipal solid waste from the landfill of the city of Shymkent were studied. Physical and chemical characteristics were determined and it was found, that the average density of MSW is at the level of values, ​​typical for developed countries. Parameters of humidity, ash content of volatile substances and net calorific value are at the world average level. A microbiological study showed that bacterial microflora predominated in the samples of water extracts.