bluuebunny/crossref_metadata_2025 huggingface dataset:
Impacto del grado de efectividad de los controles de riesgo sobre el indice de frecuencia de accidentes en las operaciones mecanizadas de CIA de Minas Buenaventura S.A.A.
Authors:   , Guerra Rivas Félix Santiago
Published: March 2023

El principal propósito de esta tesis fue determinar en qué medida incide el grado de efectividad de los controles (GEC) en la reducción del índice de frecuencia de accidentes (IFA), pues esta medida nos proporcionará un importante punto de referencia para incrementar la aplicación de controles que tengan una mayor contribución en la disminución del IFA y minimizar el empleo de aquellos que no lo hagan. Se tomaron los datos de accidentes trimestrales durante los años 2013 a 2017 y se aplicó la teoría de regresión para hallar una relación causa efecto entre la variable independiente, representada por la proporción de los grados de efectividad de los controles duros y blandos (CD/CB), y la variable dependiente representada por el índice de frecuencia de accidentes desplazado (IFAD). El grado de efectividad de un control lo determinamos aplicando tres factores: el ranking dimensional del control, la ubicación temporal del control y la eficiencia relativa del control. El IFA se determinó como el índice de frecuencia de ocurrencia de accidentes ocurridos por cada millón de horas hombre trabajadas y el IFAD como el IFA del trimestre siguiente al de la aplicación de los controles una vez establecidas las causas raíz del accidente. Los resultados obtenidos indican que el IFAD disminuye a medida que aumentan los controles duros o disminuyen los controles blandos. Una aplicación inmediata sería el uso de indicadores de desempeño donde la meta sería la mejora del valor CD/CB que nos llevaría a una mejora de índice IFAD.
Heating Up in Icy Waters
Authors: Wright Blake
Published: March 2023

It was an area once thought to be the last untapped jewel in the hunt for hydrocarbons in the Great White North—a frontier of equal parts promise and peril. The lure of massive oil deposits lurking miles below its icy waters had operators taking a hard look at offshore Eastern Canada as far back as the late 1960s; however initial production from the area—Cohasset-Panuke off Nova Scotia—did not begin until 1992. Logistical challenges related to the remote area and the lack of existing infrastructure made bringing on new production in the region an expensive proposition. The discovered fields would need to be sizable to warrant the required investment.

After decades of fits and starts, offshore Eastern Canada has yielded just a handful of major developments, with the best of those facing their own sets of challenges. Newfoundland and Labrador’s Terra Nova, the first development in North America to use floating production, storage, and offloading (FPSO) technology in a harsh-weather environment featuring sea ice and icebergs, came on line in 2002, but has been suspended for the past 3 years due to issues with the vessel.

White Rose, another FPSO-based development, came on stream in late 2005 via subsea wells tied back to the SeaRose vessel. After successful completion of one expansion project in the 2010s, a further expansion—West White Rose—was planned but halted in 2020 due to unfavorable oil markets caused by the COVID-19 pandemic.

The project envisaged a wellhead platform supported by a concrete gravity structure (CGS) and topsides. The platform will produce back to the SeaRose FPSO. Cenovus approved the restart of the project in May 2022. The West White Rose project is expected to increase the production life of the field by 14 years.

Newfoundland and Labrador’s landmark oil production platform Hibernia became the first to produce oil in the province just over 25 years ago. As of August 2022, the project has produced more than 1.2 billion bbl of oil from the field, with almost 580 million bbl remaining proven and possible reserves.

The region’s newest producer is the ExxonMobil-operated Hebron. First oil from the field was produced in November 2017—37 years after the field’s discovery by former operator Chevron. Plans to develop the field were shelved in the early 2000s only to be revived later in the decade.

As a result of production interruptions and project delays, overall production trends in the region have been on the decline since the end of 2019 (Fig. 1).

Off Nova Scotia, both ExxonMobil’s Sable Offshore Energy Project and Ovintiv’s (formerly Encana) Deep Panuke produced commercially for a combined 24 years (19 and 5, respectively) before each was abandoned and decommissioned in 2018.

However, the outlook for offshore Eastern Canada today is somewhat brighter.
Louisiana Carbon Storage Projects Surging on Fatter Tax Breaks and Blue Fuel Visions
Authors: Rassenfoss Stephen
Published: March 2023

Louisiana’s energy companies are racing in a new direction chasing rich tax credits and hopes for blue fuels.

An economy built on producing oil and gas and turning them into fuels and chemicals is now the leader, by far, in projects to capture and store carbon dioxide emitted by the massive petrochemical and refining facilities along the Mississippi River.

Out of 28 applications for CO2 injection projects in the US, 15 are in Louisiana, said Steve Lee, director of the injection and mining division of the Louisiana Department of Natural Resources, during a recent presentation at the CO2 Conference in Midland, Texas.

If all those permit requests lead to operating projects, they would increase the current number of sites globally by 50%, according to an annual survey by the Global Carbon Capture and Storage (CCS) Institute, which supports the growth of storage.

The trigger for this uptick was the 2022 US Inflation Reduction Act that includes large increases in the tax credits—which can be paid in cash for up to 5 years to companies that reduce their emissions by capturing CO2 and then injecting it into subsurface storage.

In Louisiana, the key number in the bill is the top rate paid for injecting CO2 into sites designed to store it permanently—$85 per metric ton for facilities that begin construction prior to 1 January 2033.

For owners of chemical plants, this can go a long way toward paying the high cost of carbon-reducing projects required by investors and lenders, and it opens the door for them to get into the business of selling low-carbon blue fuels.

Louisiana, with its vast supplies of CO2 that can be separated out at an affordable cost and vast stores of open pore space in the ground, is a test bed for this hydrocarbon-based energy transition.

“Our geology is really good in Louisiana. Also, we have an extensive pipeline network and lots of CO2. Half of our CO2 is from industrial emissions, so it is good for capture,” Lee said.

Connecting those resources to create a CO2 storage business also requires large numbers of skilled deal makers, engineers, lawyers, and politicians because what they are building is neither simple nor an easy sell.

A recent deal, described in corporate releases, helps show the complexities and motivations required to capture, deliver, and store industrial CO2.

It starts at the world’s biggest ammonia-producing facilities in Donaldson, Louisiana, owned by CF Industries. The company wants to rid itself of the title of the state’s largest CO2 emitter with a plan to invest $200 million in a unit that will pull CO2 out of its exhaust streams, remove the water, and compress the gas to its supercritical state for shipment.
Pathways to clean energy transition in Indonesia's electricity sector with OSeMOSYS modelling (Open-Source Energy Modelling System)
Authors: Paiboonsin Pusanisa , Oluleye Gbemi , Yeganyan Rudolf , Tan Naomi , Cannone Carla , Howells Mark
Published: March 2023

Responding to the Paris agreement and climate change mitigation, Indonesia aims to reach Net Zero by 2060 or sooner. Due to Indonesia's dependence on coal and growing consumption, alternative sources of clean energy are imperative for meeting its rising energy needs and reducing energy-related greenhouse gas emissions to achieve the energy transition. This project aims to examine Indonesia's challenges, opportunities and potential to achieve low carbon ambition in the energy sector and identify alternative pathways for the energy transition in Indonesia. Cost-effective scenarios are developed by the Open Source Energy Modelling System (OSeMOSYS), providing comprehensive data analysis. OSeMOSYS is a least-cost model that enables long-term energy system modelling and its related intensive analysis. Indonesia energy data and OSeMOSYS input are obtained from an Indonesia starter data kit. In this study, a comparison of electricity generation, technology, investment, and carbon dioxide emissions is made between business-as-usual scenarios and model scenarios. The results show that NZ50 scenario is more cost-effective than others in meeting Indonesia's future energy demand at the lowest implementation cost. Although NZ50 and NZ60 are possible ways to reach carbon neutrality, NZ50 emits fewer CO2 emissions at a similar cost to NZ60. This paper's insights emphasise that large-scale renewable energy deployment and coal retirement are critical pathways to reaching carbon neutrality and achieving the energy mix transition.
Morocco's Coal to Clean Journey: Optimised Pathways for Decarbonisation and Energy Security
Authors: Harland Natasha , Jansen Malte , Yeganyan Rudolf , Tan Naomi , Cannone Carla , Howells Mark
Published: March 2023

Morocco depends on imported fossil fuels for 90% of its primary energy supply. This makes the country vulnerable to unstable fuel prices and supply cut-offs, and the reliance on fossil fuels releases CO2 emissions which contribute to climate change. Renewable energy expansion, facilitated by Morocco’s high potential for solar and wind capacity, could allow the country to improve its energy security and decarbonise its energy system, in line with its response to the Paris Agreement.

This study uses OSeMOSYS (the Open Source Energy Modelling System) to produce six cost-minimised decarbonisation scenarios for Morocco that consider energy independence. The results show that Morocco can achieve most of its decarbonisation targets through bulk wind and solar energy, with a coal phase-out being possible by 2031 at the latest. Natural gas is replaced by biomass and nuclear energy, with some evidence that fuel imports may stay relevant for the foreseeable future.

We conclude with policy recommendations. The study can provide insights for policymakers and stakeholders in Morocco's energy sector to achieve optimal pathways for decarbonisation.
A Multi-feature Fusion Approach Based on Domain Adaptive Pretraining for Aspect-based Sentiment Analysis
Authors: Ma Yinglong , He Ming , Pang Yunhe , Wang Libiao , Liu Huili
Published: March 2023

Aspect-based sentiment classification (ASC) is a popular task that aims to identify the corresponding emotion of a specific aspect for aspect-based sentiment analysis. Dependency parsing is currently considered as an efficient tool for recognizing the opinion words in the sentiment text. However, many dependency-based methods might be susceptible to the dependency tree and inevitably introduce noisy information and neglect the rich relation information between words. In this paper, we propose a multi-feature fusion approach based on domain adaptive pretraining for ASC and reducing dependency noisy information. We use the Multi-task Learning (MTL) technique for domain adaptive pretraining, which combines Biaffine Attention Model (BAM) and Mask Language Model (MLM) by jointly considering the structure, relations of edges, and linguistic features in the sentiment text. The pretrained dependency graph will be input into a double graph fusion-based message passing neural network (MPNN) that is initialized with the optimal parameters of the pretrained BAM for MPNN training, which fully considers these different features that are affected with each other for ASC. Extensive experiments were made on four benchmark datasets for comparing our approach with the state-of-the-art ASC approaches, and the results show that our model is very competitive in the ASC task compared with the state-of-the-art alternatives.
Knowledge and practice attitudes regarding the relationship between diabetes and periodontitis: A survey among Swiss endocrinologists and general physicians
Authors: Chatzaki Natalia , Zekeridou Alkisti , Paroz Elsa , Gastaldi Giacomo , Giannopoulou Catherine
Published: March 2023

Background
The objective of the present survey is to assess the knowledge about the relationship between oral health and diabetes and to identify the practice behaviors of Swiss endocrinologists and general practitioners regarding oral health in diabetic patients.
Methods
A thirty- item questionnaire was mailed to 428 internists and 99 endocrinologists working in the French speaking part of Switzerland. Participants were asked about their awareness of the relationship between diabetes and periodontal disease, their practice behaviors as well as their willingness for an interdisciplinary education and collaboration with oral health professionals. The questions were answered according to a three-point or five-point Likert scale.
Results
The response rate was 23%. All participants were aware of the inflammatory and infectious nature of periodontal disease. They all agreed that good periodontal health is important for overall health. However, most of the practitioners received no information during their education curricula on the link between systemic and oral health or concerning periodontal problems in diabetic patients; thus, only a minority of health practitioners addresses oral health care to their patients. Both endocrinologists and general health physicians agreed that an oral health screening could be included in their practice.
Conclusions
An interdisciplinary education and collaboration among medical and dental health providers should be established to effectively prevent, manage, and control both diabetes and periodontal disease in diabetic patients.
The Quality in Acute Stroke Care (QASC) global scale-up using a cascading facilitation framework: A qualitative process evaluation
Authors: Elizabeth McInnes , Simeon Dale , Katie Bagot , Kelly Coughlan , Jeremy Grimshaw , Waltraud Pfeilschifter , Cadilhac Dominique A , Fisher Thomas , Merwe Jan van der , Middleton Sandy
Published: March 2023

Background
Variation in stroke care among hospitals is problematic. The Quality in Acute Stroke (QASC) Australia trial demonstrated reductions in death and disability through supported implementation of nurse-led, evidence-based protocols to manage fever, hyperglycaemia (sugar) and swallowing (FeSS Protocols) following stroke. We conducted a pre-test/post-test study to evaluate the effect of supported implementation on FeSS Protocol uptake into acute stroke wards in 64 hospitals in 17 European countries. Implementation across countries was underpinned by a cascading facilitation framework of multi-stakeholder’s support involving academic partners and a not-for-profit health care initiative. The aim of this a priori qualitative process evaluation was to identify factors that influenced the implementation of the international up-scale of the FeSS Protocols using a cascading facilitation framework.
Methods
The sampling frame for interviews was: 1) Executives/Steering Committee members from academic and industry partners (from the Angels Initiative, a not-for-profit arm of industry) some of whom comprised the senior project team, 2) Angel Team leaders (managers of Angel Consultants), 3) Angel Consultants (responsible for assisting facilitation of FeSS Protocols into multiple hospitals) and 4) Country Co-ordinators (senior stroke nurses with country and hospital-level responsibilities for facilitating the introduction of the FeSS Protocols). A semi-structured interview elicited participant views on factors influencing engagement, preparation for FeSS Protocol upscale and implementation. Interviews were recorded, transcribed verbatim and analysed inductively within NVivo.
Results
Individual (n=13) and three group interviews (3 participants in each group) were undertaken. Three main themes were identified with sub-themes: readiness for change; roles and relationships and managing multiple changes. These themes illustrate the factors that enabled multi-country FeSS Protocol scale-up through a cascading facilitation model based on a collaboration between evidence producers (academics), knowledge brokers (not-for-profit arm of industry), and evidence adopters (stroke clinicians).
Conclusion
A cascading facilitation model involving academic, clinical and industry partners overcame multiple challenges involved in international evidence translation. Capacity to manage, negotiate and adapt to multi-level changes, a shared goal of optimal stroke care and strategic engagement of different stakeholders supported adoption of nurse-initiated stroke protocols within Europe. This model has promise for other large-scale evidence translation programs.
New Insight in Massive Cerebral Infarction Predictions after Anterior Circulation Occlusion
Authors: Chen Jingshu , Zou Mingyu , Zhang Nan , Qi Shouliang , Yang Benqiang , Zhang Libo , Shi Lin , Duan Yang
Published: March 2023

To predict massive cerebral infarction (MCI) occurrence after anterior circulation occlusion (ACO) by cASPECTS-CTA-CS (combined ASPECTS and CTA-CS). Of 112 cerebral infarction patients with the ACO, their collateral circulation scores from CT angiography (CTA) images in two groups (MCI and non-MCI) were evaluated using Alberta Stroke Program Early CT Score (ASPECTS) and CT angiography collateral score (CTA-CS) approaches. Receiver-operating characteristic curve (ROC), clinical impact curve (CIC), and decision curve analysis (DCA) strategies were used to assess the clinical practicality and predictability of both approaches (cASPECTS-CTA-CS and CTA-CS). Using net reclassification improvement (NRI) and integrated discrimination improvement (IDI) analyses, discrimination levels of the cASPECTS-CTA-CS were compared with CTA-CS. Classification and regression tree (CART) analyses was conducted to identify the best predictive values and identify subgroup of MCI. The discrimination ability of collateral circulation evaluation score using the cASPECTS-CTA-CS [AUC: 0.939, 95% confidence interval (CI): 0.888–0.990, P < 0.01; NRI: 0.429, 95% CI: 0.069–0.789, P < 0 .01; and IDI: 0.118, 95% CI: 0.035–0.202, P < 0 .01] was better than CTA-CS alone (AUC: 0.910, 95% CI: 0.854–0.965, P < 0 .01). DCA indicated the net benefits of the cASPECTS-CTA-CS approach was higher than CTA-CS alone when the threshold probability range over 20%. CIC analyses showed that the number of high risks and true positives were in agreement when the threshold probability > 30%. Less than 25 of cASPECTS-CTA-CS by CART was important factor in determining MCI occurrence, and ASPECTS < 7 was followed factor. The cASPECTS-CTA-CS approach cumulatively predicted MCI after ACO.
Implementation of Circular Blockchain-Based Approach for Food Crops Supply Chain with Bitcoin Prediction using Deep Learning
Authors: DS Dayana , G Kalpana , T Vigneswaran
Published: March 2023

Blockchain technology serves as a framework for addressing the challenge of tracking and marketing materials in distributed networks. Agricultural traceability systems in food production provide farmers with food safety and smart contracts. Smart contracts establish cryptocurrency evidence of delivery with automated bitcoin payments to all parties. In this paper, we propose circular blockchain-based traceability and bitcoin prediction in agricultural food crop system to accomplish transparency and traceability. Bitcoin prediction using LSTM benefits farmers and stakeholders to buy and sell their food crops when the profit is high. Moreover, the proposed system provides safety, consensus, shared ledger, speedy payment, and decentralization. All activities are processed in a distributed shared ledger with connections to a decentralized file system, which makes the supply chain visible and traceable. All the activities that are tied up in the supply chain are transparent to consumers and stakeholders. Traceability of the agricultural product is done efficiently with QR code, which results in a trustable relationship between the farmer and the consumer. Finally, our research shows that the accuracy of LSTM outperforms by 88.67% compared to traditional machine learning algorithms such as SVM and Naive Bayes with accuracy of 62.025% and 75.32% in forecasting the bitcoin price.
Medication-related osteonecrosis of the jaw without osteolysis on computed tomography: A retrospective and observational study
Authors: Sakamoto Yuki , Sawada Shunsuke , Kojima Yuka
Published: March 2023

Medication-related osteonecrosis of the jaw (MRONJ) is a refractory osteonecrosis caused by antiresorptive agents such as bisphosphonate and denosumab (DMB). In MRONJ surgery, computed tomography (CT) is generally used to determine the extent of bone resection. However, in some recent MRONJ cases, no abnormal findings were detected on CT. Therefore, we aimed to clarify the characteristics of MRONJ without osteolysis. This retrospective and observational study included 18 patients diagnosed with MRONJ between October 2020 and October 2022 at our hospital. In four of 18 patients with MRONJ, no abnormal findings such as osteolysis, separation of sequestrum, and periosteal reaction were observed on CT images at the first visit. All four patients with non-osteolytic MRONJ had malignant tumors and received high-dose DMB. Three patients had no osteolysis, and osteosclerosis on initial CT. However, a periosteal reaction appeared on CT several months later, although no osteolysis was observed. Periosteal reaction is often accompanied by osteolysis. Acute symptoms and periosteal reactions without bone resorption are very rare. Surgery was performed in three of the four patients. The extent of bone resection was determined using magnetic resonance imaging and intraoperative gross findings. However, MRI may overestimate inflammation or may be unclear as to true osteonecrosis, the T1/T2/T2STIR bone marrow signal is useful for surgical resection. CT may not reveal osteolysis in patients treated with high-dose DMB. In the future, it is necessary to establish a method for diagnosing MRONJ and determining the extent of bone resection.
A qualitative study describing provider perspectives on the influence of external support on the quality of HIV and TB services at public health clinics in Ekurhuleni, South Africa
Authors: Munedzimwe Fadzai , Milazzo Katherine , Charalambous Salome , Grund Jonathan M , Chaane Thandi , Chetty-Makkan Candice M
Published: March 2023

Background: To combat the HIV epidemic in South Africa, stronger health systems are needed to maintain progress towards reaching the UNAIDS 95-95-95 goals. South Africa’s National Department of Health (NDoH) has supported various health systems strengthening (HSS) strategies that include the Ideal Clinic programme. This study sought to describe the perceptions of health workers on how support from a PEPFAR-funded implementing partner (IP) contributed to HSS activities in Ekurhuleni District’s Ideal Clinics. We explored the perceptions of health workers on how external support from an IP influenced the quality of HIV/TB services at primary health clinics (PHCs).
Methods: We conducted a qualitative study at five clinics in the Ekurhuleni district, Gauteng Province, South Africa. Purposive sampling was used to include clinics in different sub-districts with varying status within the “Ideal Clinic” programme, which is a NDoH initiative to strengthen health systems by improving quality of care. From October to December 2019, 30 in-depth interviews were conducted with health workers using semi-structured interview guides. Health workers, employed for more than 3 months and involved in providing TB and HIV services, were invited to participate. Interview data were analysed using thematic content analysis.
Results: Most staff perceived the overall quality of HIV/TB services as high. Clinic staff felt that the IP’s provision of material and human resources was useful and contributed to improving the quality of health service delivery. Staff perceived training and the presence of guidelines on service provision as beneficial and that it should be increased. Communication with the IP facilitated the provision of quality HIV/TB services, but increased open communication was recommended especially with regards to changes made to service provision and handover of patients.
Conclusion: Staff perceived that external support received from the IP improved the quality of HIV/TB services provided. Health systems are strengthened by such improvements in the quantity and quality of services offered. External partners provide valuable technical support to health facilities. Ensuring that there is adequate attention paid to communication and relationship-building with clinic staff may help to improve collaboration and overall quality of care.
Mycorrhizal fungi improve the yield and balance of grass–legume mixtures by increasing nutrient access and reducing competition
Authors: ZHOU JIQIONG , Gong Jinchao , Liu Shan , Cobb Adam B. , Yang Gaowen , Li Xiangjun , Sun Feida , Pen Yan , Yan Yanhong , Liu Lin , Zhang Xinquan
Published: March 2023

Aims
Plant species mixtures with different functional traits or microbial associations can more fully utilize soil nutrient pools. However, there is a gap in our understanding of the synergistic influences of arbuscular mycorrhizal (AM) fungi in nutrient capture and resource partitioning across different soil depths in mixed plant communities, as well as their possible effects on plant coexistence. To address these knowledge gaps, we assessed the effect of AM fungi on nutrient uptake and competition between shallow- and deep-rooted pairs of grass and legume species.
Methods
To quantify the mycorrhizal mediation of N uptake at different rooting depths, 15N tracer was injected into soil at 3- and 25-cm depths of monoculture or bi-species mixtures, with or without AM fungi.
Results
AM symbioses reduced plant competition by equalizing access to N and subsequently increasing shoot N and P concentrations of co-cultivated plant species. Niche differentiation, based on rooting depth, had minimal effects on grass and legume competitive interactions. Both deep-rooted plant species, i.e., Medicago sativa and Dactylis glomerata, and shallow-rooted species, i.e., Lolium perenne and Trifolium repens, primarily acquired nutrients from shallow soil layers. However, AM fungi significantly increased the rooting depth of both shallow- and deep-rooted plant species, enhancing nutrient uptake and N2 fixation from depths of both 3 and 25 cm.
Conclusion
Our results suggest a strong influence of AM fungi on host-plant competitiveness and vertical nutrient capture in mixed plant communities, underscoring that microbial mutualist-mediated nutrient acquisition is a key driver of gains in productivity of grass–legume mixtures.
Some new synthesized gemini cationic surfactants as corrosion inhibitors for carbon steel in hydrochloric acid solution
Authors: Maksoud Samir Abd El , F.I.El-Dossoki Farid , Abdelhamed Mona , Farag Ahmed
Published: March 2023

The effect of newly synthesized gemini surfactants on the corrosion of carbon steel in 1 M HCl was investigated. The outcomes show that the inhibition effectiveness of the compounds is affected by the increasing concentration and the capability to produce micelles in an aqueous solution. Weight loss, potentiodynamic polarization, and electrochemical impedance spectroscopy (EIS) techniques were used in the investigation. The obtained results show that these surfactants behave as good corrosion inhibitors. With increasing surfactant concentrations, the inhibition efficiency of the investigated compounds increases. The results show that the inhibition efficiency for the best inhibitor has 97.9% at 100 ppm. Changes in impedance parameters (charge transfer resistance, Rct, and double-layer capacitance, Cdl) were indicative of surfactant adsorption on the metal surface, resulting in the formation of a protective film, according to EIS results. The measurements of potentiodynamic polarisation revealed that the inhibitors are mixed type. Physical and chemical adsorption are demonstrated by these gemini surfactants. and is governed by the Langmuir adsorption isotherm. The morphology of the C-steel surface and the protective film on the surface were studied using SEM, AFM, and XPS characterization. The results of the various procedures agreed very well.
Application of single-port procedure and ERAS management in the laparoscopic myomectomy
Authors: Wang Jing , Xu Xiaomin , Xu Jingui
Published: March 2023

Objective: Advances in surgical techniques and perioperative management are the two major contributing factors to improved surgical outcomes. The purpose of the current study was to compare the efficacy of single-port surgery and perioperative enhanced recovery after surgery (ERAS) management in laparoscopic myomectomy.
Methods: The present study included 120 patients undergoing laparoscopic myomectomy in the Gynecological Ward of Quzhou Affiliated Hospital of Wenzhou Medical University. According to the traditional perioperative management mode and ERAS management, multi-port and single-port procedures, all patients were assigned to the Conventional-SPLS (Single-Port Laparoscopic Surgery with conventional perioperative care) group (n=34), Conventional-Multi (multi-port laparoscopic surgery with conventional perioperative care) group (n=47), and ERAS (multi-port laparoscopic surgery with ERAS perioperative care) group (n=39). The three groups were compared about surgical outcomes such as operation time, intraoperative blood loss, variations in postoperative hemoglobin, postoperative walking time, postoperative flatus expelling time, postoperative hospital stay, and visual analog scale (VAS) scores at 6 and 12 hours following surgery.
Results: In terms of postoperative walking time and flatus expelling time, the ERAS group recovered the quickest. The ERAS group also recovered the shortest postoperative hospital stay(3.85±1.14 days), which differed significantly from that in the Conventional-Multi group, but not significantly from that in the Conventional-SPLS group. In terms of VAS scores at 6 and 12 hours after surgery, the ERAS group had the lowest pain intensity, which differed significantly from that of the other two groups. The impact of surgical procedures or perioperative management on hospital stay was evaluated using multiple regression analysis. The results demonstrated that ERAS was an important independent contributor to reducing postoperative hospital stay (β=0.270, p=0.002), while single-port surgery did not affect on this index (β=0.107, p=0.278).
Conclusion: In laparoscopic myomectomy, perioperative ERAS management could control postoperative pain and shorten hospital stay. Single-port surgery could speed up the recovery of gastrointestinal function and postoperative walking time, but it did not affect postoperative pain management or the length of hospital stay. Thus, the most effective approach to improving postoperative outcomes in laparoscopic myomectomy was the application of perioperative ERAS management.
Complexity-calibrated Benchmarks for Machine Learning Reveal When Next-Generation Reservoir Computer Predictions Succeed and Mislead
Authors: Marzen Sarah E. , Riechers Paul M. , Crutchfield James P.
Published: March 2023

Recurrent neural networks are used to forecast time series in finance, climate, language, and from many other domains. Reservoir computers are a particularly easily trainable form of recurrent neural network. Recently, a “next-generation” reservoir computer was introduced in which the memory trace involves only a finite number of previous symbols. We explore the inherent limitations of finite-past memory traces in this intriguing proposal. A lower bound from Fano’s inequality shows that, on highly non-Markovian processes generated by large probabilistic state machines, next-generation reservoir computers with reasonably long memory traces have an error probability that is at least ∼ 60% higher than the minimal attainable error probability in predicting the next observation. More generally, it appears that popular recurrent neural networks fall far short of optimally predicting such complex processes. These results highlight the need for a new generation of optimized recurrent neural network architectures. Alongside this finding, we present concentration-of-measure results for randomly-generated but complex processes. One conclusion is that large probabilistic state machines—specifically, large ϵ-machines—are key to generating challenging and structurally-unbiased stimuli for ground-truthing recurrent neural network architectures.
PACS numbers: 02.50.-r 05.45.Tp 02.50.Ey 02.50.Ga
The role of LOXL2 induced by glucose metabolism-activated NF-κB in maintaining drug resistance through EMT and cancer stemness in gemcitabine-resistant PDAC
Authors: Lee Yun Sun , Kim Hyung Sun , KIM HYO JUNG , Kang Hyeon Woong , Lee Da Eun , Kim Myeong Jin , Hong Woosol Chris , Kim Ju Hyun , Kim Minsoo , Park Joon Seong
Published: March 2023

Gemcitabine is considered a standard treatment for pancreatic cancer, but developing drug resistance greatly limits the effectiveness of chemotherapy and increases the rate of recurrence. Lysyl oxide-like 2 (LOXL2) is highly expressed in pancreatic cancer and is involved in carcinogenesis and EMT regulation. However, studies on the role of LOXL2 in drug resistance are limited. Here, we investigated the mechanism of LOXL2 induction and the effect of LOXL2 on EMT and CSC in gemcitabine-resistant pancreatic cancer. Glucose metabolism was activated in gemcitabine-resistant pancreatic cancer cells, and NF-κB signaling was regulated accordingly.Activated NF-κB directly induces transcription by binding to the promoters of LOXL2 and ZEB1. The EMT process was significantly inhibited by the coregulation of ZEB1 and LOXL2. In addition, LOXL2 inhibition reduced the expression of cancer stemness markers and stemness by regulating MAPK signaling activity. LOXL2 inhibits tumor growth of gemcitabine-resistant pancreatic cancer cells and increases the sensitivity to gemcitabine in mouse models.
Student Academic Performance prognosticative Using optimized Hybrid Machine Learning Algorithms
Authors: Kannan Rajesh , Abarna K T Meena , Vairachilai S
Published: March 2023

Prediction of student performance at early stage in higher education is important for academic society so that strategic decisions can be made before students are placed to keep them from dropping out of the course. Due to India's massive student population and extremely ancient educational system, there are significant difficulties in measuring and forecasting students' performance. Every institution in India has its own unique set of criteria for measuring student achievement, and there is no formal process for keeping track of and evaluating a student's progress and improvement. Over the last decade, researchers in the education domain have presented numerous types of machine learning techniques. However, there are significant obstacles to dealing with imbalanced datasets in order to predict the performance of students. In this paper, the first phase of traditional classification algorithms has been applied to the dataset, which contains the progress of 4424 students. In the second phase, novel hybrid machine learning (ML) algorithms were used to get better predictions. The outcome of the proposed model makes it easier to predict how well students will do so that early decisions can be made about the growth of higher education institutions.
Rheological percolation, gel-like behavior and electrical conductivity of multi- walled carbon nanotubes filled ethylene-vinyl acetate copolymer/acrylonitrile- butadiene rubber nanocomposites
Authors: Razavi-Nouri Mohammad , Salavati Masoud
Published: March 2023

Rheological percolation, gel-like behavior and electrical properties of multi-walled carbon nanotubes (MWCNTs) filled ethylene-co-vinyl acetate/acrylonitrile-butadiene copolymer blends containing 0-7 wt% MWCNTs were studied. The Winter-Chambon criterion validity was evaluated for gelation of the system. The rheological and electrical percolation threshold, gel point (Pg), relaxation exponent (n), gel strength (Sg) and the fractal dimension (df) at the gel point were calculated. The formation of physical gel and rheological percolation threshold were both found to occur at 1 wt% MWCNTs concentration. Based on the df value determined, it was revealed that the system behaved similar to the one in which the excluded volume interactions were nearly screened. It was also found that the storage modulus (G') near the Pg followed a power law scaling relationship in the form G'=8257ε1.36 where ε=|P-Pg|/Pg is the distance from Pg. The electrical conductivity of the nanocomposites increased with the increase in MWCNTs loading after the nanofillers content surpassed a certain value. A schematic model was proposed to demonstrate electrical conduction with the increase in MWCNTs concentration. The excluded volume and hard core models were also employed to estimate the average aspect ratio of the nanofillers embedded in the system.
Desire for underweight among young Japanese women: perspectives on ideal body shape and measured body shape
Authors: Yasuda Tomohiro
Published: March 2023

We examined the actual situation of the desire to be thin among young Japanese women from the perspective of ideal body shape and actual measured body shape. In total, 90 young Japanese women were evaluated using a questionnaire (perceived body shape and desired body composition change) and assessments of physical fitness and sarcopenia (muscle strength, physical ability, and muscle mass). Participants were classified into the underweight (74%), normal (20%), or obesity (6%) groups. The normal weight group needed to gain 2.2 kg to become ideal, but participants desired a 4.5 kg weight loss (p<0.01). The underweight group needed to gain 10.3 kg to become ideal, but participants desired to maintain their present body weight. There were no differences (p>0.05) among the groups regarding the other physical fitness assessments, except for knee extension strength. Data on muscle mass for the sarcopenia diagnosis showed low values for the underweight group. Most participants were classified as the normal and underweight groups, but these groups showed a high percentage of a desire to be thin. The body shape of young adult women should be carefully considered not only as a health issue of thinness during the fertile period but also as a sarcopenia countermeasure (low skeletal muscle mass) for the ageing period.
A perspective of randomness in a clinical test of olfactory performance
Authors: Lötsch Jörn , Hummel Thomas , Ultsch Alfred
Published: March 2023

Background Random walks describe stochastic processes that result from a sequence of indeterminate changes in a random variable that are not correlated with past changes. This report describes a random walk component of a clinical sensory test of olfactory performance. The formal description of the stochastic process during the clinical test allows precise cutoffs to be set for the diagnosis of olfactory loss. Methods While odor discrimination (D) and odor identification (I) are tested in the Sniffin`Sticks olfactory test battery with four- and three-alternative forced-choice designs, respectively, the odor threshold (T) test embeds a three-alternative forced-choice paradigm in a seven-alternative staircase paradigm. This was investigated in computer simulation scenarios and then formally described. Results Odor threshold assessment test consists of two sequential parts, the first of which determines the starting point for the next. Both parts can be described as a biased random walk with highly unequal probabilities of moving toward higher (11%) or lower scores (89%). The odor concentration from which the first test part begins, and the length of the random walk in the subsequent second part were critical factors in the probability of accidentally achieving high test scores. Conclusions By changing the odor concentration from where the starting point determination for the second test part begins, the current cut-off of a composite test score at T + D + I < 16 indicating anosmia was raised from representing the 87th quantile of random test scores to representing the 97th quantile. The results likely apply to other sensory tests using the staircase paradigm that can also be described as random walks.
Automatic Identification of Posteroanterior Cephalometric Landmarks using a Novel Deep Learning Algorithm: A Comparative Study with Human Experts
Authors: Lee Hwangyu , Cho Jungmin , Ryu Susie , Ryu Seungmin , Chang Euijune , Jung Young-Soo , Kim Jun-Young
Published: March 2023

This aimed to propose a fully automatic posteroanterior (PA) cephalometric landmark identification model using deep learning algorithms and evaluate its accuracy and reliability compared with those of expert human examiners. In total, 1,032 PA cephalometric images were used for model training and validation. Two human expert examiners independently and manually identified 19 landmarks on 82 test set images. Similarly, the constructed artificial intelligence (AI) algorithm automatically identified the landmarks on the images. The mean radial error (MRE) and successful detection rate (SDR) were calculated to evaluate the performance of the model. The performance of the model was comparable with that of the examiners. MRE of the model was 1.87 ± 1.53 mm, and SDR was 34.7%, 67.5%, and 91.5% within error ranges of < 1.0, < 2.0, and < 4.0 mm, respectively. The sphenoid points and mastoid processes had the lowest MRE and highest SDR in auto-identification; the condyle points had the highest MRE and lowest SDR. The fully automatic PA cephalometric landmark identification model showed promising accuracy and reliability, comparable with those of the examiners and can help clinicians perform cephalometric analysis more efficiently while saving time and effort. Future advancements in AI could further improve the model accuracy and efficiency.
A network analysis of risk and protective factors for suicidality among Chinese early adolescents: Based on a social-ecological perspective
Authors: Li Yuan , Li Peiying , Yuan Mengyuan , Li Yonghan , Zhang Xueying , Wang Gengfu , Su Puyu
Published: March 2023

Background Early adolescence is a period with the sharp increase in suicidality, especially in China. Understanding risk factors for suicidality in this critical period is a priority to inform suicide intervention strategies. This study aimed to explore a broad range of risk and protective factors for suicidality among Chinese early adolescents based on the ideation-to-action framework from the social ecology perspective.
Methods A stratified random cluster sampling approach was used to select 5,724 middle school students in Anhui Province, China, in November 2020. We used network analysis to examine the potential associations between putative correlates (sex, academic performance, serious physical illness/disability, history of self-harm, depression, impulsivity, sleep problems, resilience, family economic status, relationship with mother, relationship with father, family violence, childhood abuse, parental mental illness, relationship with teachers, relationship with classmates, school bullying victimization and perpetration, social support, satisfaction with society) and suicidal ideation, plans, and attempts.
Results In the sample, 37.9%, 19.0%, and 5.5% of students reported suicidal ideation, plans, and attempts, respectively. The estimated network revealed that suicidal ideation, plans, and attempts were all significantly associated with individual- (history of self-harm, sleep problems), family- (childhood abuse), and school-level (school bullying victimization) factors. Based on centrality analysis, the most influential nodes in the network were childhood abuse and depression. Notably, the network results showed unique correlates of suicidal ideation (sex, impulsivity, family violence, relationship with teachers, school bullying perpetration), plans (social support), and attempts (relationship with mother, parental mental illness).
Conclusions This study findings have important implications for suicide prevention in Chinese early adolescents: 1) focusing on the key risk factors for suicidality in the network; 2) separately exploring risk and protective factors for specific suicidality; and 3) highlighting the importance of joint interventions across multiple sectors when developing suicide intervention strategies.
Probing amagmatic fluids in porphyry deposits via a mono- intrusion system at Tongchang (Dexing, SE China)
Authors: Liu Xuan , Richard Antonin , Pironon Jacques , Yang Kuifeng
Published: March 2023

Porphyry deposits contain large amounts of base metals, and bear important fingerprints of magmatic and hydrothermal processes in convergent and collided plate margins. For decades, source of amagmatic fluid and its role in sulfide deposition in porphyry systems has been equivocal.
The Tongchang mono-intrusion porphyry deposit is studied for fluid sources and depositional mechanisms. In-situ quartz O and anhydrite Sr isotope analyses revealed a coexistence of magmatic and amagmatic (groundwater and residue metamorphic) fluid reservoirs, spatially separated by an impermeable zone formed by quartz deposition near brittle-ductile transition in phyllite. The impermeable zone sealed inside amagmatic components. The early and early-intermediate fluid stages were dominated by magmatic fluids forming high-T disseminated Cu sulfides (>400 °C). The late-intermediate stage was marked by retreating of the brittle-ductile interface and creation of an intermediate zone below the impermeable quartz seal. Rupturing of the intermediate zone at 350 °C to 300 °C caused incursion of the sealed amagmatic fluids leading to deposition of vein-type Cu sulfides. The late fluid stage was characterized by massive invasion of evolved groundwater and ore remobilization in response to volumetric contraction of the fluid system. Four universal models are envisaged to account for variabilities in amagmatic availability and thermal histories in porphyry deposits.
Application of image recognition based on neural network algorithm in multimedia dance teaching
Authors: Jin Gao
Published: March 2023

Neural network recognition algorithm is a deep learning-based convolutional neural network, which has been applied to target detection, image recognition, sound recognition and other fields. Although the recognition technology of convolutional neural network has been gradually stabilized, it is mainly implemented in single machine serial mode. Therefore, there will be problems such as too long training time and insufficient memory capacity. According to the previous work, this paper has carried out related research and obtained some useful results. This paper focuses on the introduction of image recognition technology based on neural network algorithm. At the same time, this paper proposes a fast real-time image recognition algorithm, which has high recognition accuracy. In this paper, the existing algorithms mentioned in the paper are analyzed, the characteristics and shortcomings of all algorithms are summarized, and the appropriate combination of algorithms is selected for specific problems. On this basis, the acceleration method of artificial neural network is used to improve the algorithm of convolutional neural network image recognition technology. With the continuous development of education and the increase of the number of students year by year, the effect of classroom teaching becomes particularly important. Therefore, modern information technology is used to transfer the classroom teaching mode to the network and realize a new method of online remote online dance teaching. According to the actual situation of dance teaching, the advantages of multimedia dance teaching are analyzed. The software of multimedia dance teaching system is tested comprehensively, from the aspects of computer system memory occupancy rate and temperature, to test whether the activities of B/S mode multimedia dance teaching system meet the expected goals and requirements of each core module of multimedia dance teaching system.