bluuebunny/crossref_metadata_2025 huggingface dataset:
CABOCLOS-RIBEIRINHOS: CAMPONESES NA AMAZÔNIA
Authors: Masulo da Cruz Manuel de Jesus
Published: January 2024

O presente artigo aborda uma discussão teórica no âmbito da geografia agrária referente a compreensão sobre o camponês na Amazônia, destacando apontamentos gerais que permitem analisar e propor uma conceituação de camponês-ribeirinho para analisar as formas de organização da produção agrícola familiar das populações ribeirinhas que habitam as áreas de várzea. O texto corresponde a uma síntese da pesquisa de mestrado realizada entre 1994 e 1999, apresentando discussões centradas em: conceito de caboclo, ribeirinhos e camponeses; organização da produção camponesa na Amazônia; economia baseada no trabalho familiar; a prática de ajuda mútua; o contrato da força de trabalho e a venda desta; a propriedade da terra; a relação com o mercado.
Guest Editorial: Unleasing the Power of Customer Advisory Boards Combined With a Customer Value-Based Strategy
Authors: Gray Tracy
Published: January 2024

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In today’s rapidly evolving business landscape, innovation has become the key to success. Companies that can adapt, innovate, and stay ahead of the curve not only survive, but thrive. To achieve this, a fresh approach to innovation is required: one that harnesses the collective wisdom of customer advisory boards and prioritizes a strategy based on customer value. In this article, we delve into the value of co-creating innovation through these two critical elements.

The Power of Customer Advisory Boards

Customer advisory boards are invaluable assets for any forward-thinking, innovative organization. They are not just a forum for feedback, but a mechanism for co-creating value and fostering innovation. They serve as a strategic tool for an organization to gain valuable insight, enhance customer relationships, and drive innovation. The facilitated collaboration leads to improved products, market-driven innovation, stronger customer relationships, and market success. The diverse backgrounds and expertise of the customers who make up an advisory board provide a holistic perspective that internal teams might lack. Here’s how advisory boards contribute to innovation.

Unbiased Insights and Feedback. Customer advisory board members bring fresh eyes to a company’s products and challenges and provide a structured platform for customers to voice their opinions, share experiences, and offer feedback on products and services as well as the overall customer journey. They offer impartial insights and constructive criticism, allowing for a more accurate assessment of innovation efforts.

Market Validation. These boards typically comprise individuals with deep industry knowledge. Their expertise helps identify emerging trends and opportunities, ensuring that innovation efforts are aligned with industry advancements and customer expectations; thus, avoiding costly misinnovation from misalignment with the market. This ensures that when a product is developed, there is market demand for the product.

Enhanced Customer Relationships. Customer advisory boards can open doors to new partnerships, collaborations, and resources. They connect organizations to a broader ecosystem, fostering innovation through collaboration.

Co-Creation of Solutions. Customer advisory boards enable collaborative problem solving and solutions. Customers, as experts in their fields, actively participate in ideation and development of new products and features to solve their challenges and address future business requirements. This co-creation ensures solutions meet specific customer needs driven by current challenges. A collective voice of the board ensures solutions and products are not too customized for a specific customer but fit the needs of the broader market experiencing the same challenges.
Machine-Learning-Based Solution Predicts Fluid Properties for Gas-Injection Data
Authors: Carpenter Chris
Published: January 2024

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 211080, “Machine-Learning-Based Prediction of Pressure/Volume/Temperature Fluid Properties for Gas-Injection Laboratory Data,” by Kassem Ghorayeb, SPE, American University of Beirut and Schlumberger; Kristian Mogensen, SPE, ADNOC; and Nour El Droubi, Schlumberger, et al. The paper has not been peer reviewed.

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While machine learning (ML) is used extensively to predict black-oil properties, it is used less often for compositional reservoir properties, including those related to gas injection. Can typically extensive conventional laboratory data be used to help predict the necessary gas-injection parameters? This question is addressed in the complete paper. The authors present an ML-based solution that predicts pertinent gas-injection studies from known fluid properties such as fluid composition and black-oil properties—that is, learning from samples with gas-injection laboratory studies and predicting gas-injection fluid parameters for the remaining, much larger data set.

Methodology

The objective of the ML component is to predict the results of the swelling test using compositional and black-oil properties. Fig. 1 illustrates the three main steps that make up the work flow. The swelling-test data is processed and analyzed for use in the ML training as the first phase in the data-preparation and -analysis process. The following step is ML training, where features are engineered to examine correlations in the data, followed by the training of ML models using selected features and evaluation of the results. The swelling-test data for each fluid sample will be predicted using the trained ML models in the last stage, which creates a digital-twin database for swelling-test results. The three steps are detailed in the complete paper.

Results and Discussion

Several approaches were taken while training the ML model. One approach was to either cluster before the ML training, with one ML model trained for each cluster, or train a single ML model using all the data. The other approach was to use the chain method for the prediction of the outputs. In the chain approach, the outputs are given a specific order and, whenever one output is predicted, it is added to the inputs of the following output. The chain approach is particularly useful when the outputs are correlated.
Technology Focus: Mature Fields and Well Revitalization (January 2024)
Authors: Jain Siddarth
Published: January 2024

In the relentless pursuit of a sustainable energy future, the often-overlooked potential of mature oil fields emerges as a beacon of hope. Once considered as being on the brink of abandonment, aging reservoirs are proving to be valuable assets as innovative hydrocarbon recovery techniques and re-envisioning of these fields for decarbonization opportunities are transforming them into reservoirs of opportunity.

The sheer scale of mature oil fields globally is staggering. Advanced technologies and techniques, championed by internal initiatives that maximize the use of available data, are breathing new life into these reservoirs. While renewable energy sources are gaining traction, the world still relies heavily on hydrocarbons for its energy needs. One of the key advantages of reusing mature oil fields is the reduction in the need for new exploration and drilling. Exploring and developing new fields can be costly both financially and environmentally. By maximizing the recovery from existing fields, the industry can significantly decrease its ecological footprint and capitalize on the infrastructure already in place.

Furthermore, the economic benefits of repurposing mature oil fields are substantial. The highlighted advancements focus on storage of various gases such as hydrogen, CO2, and natural gas, capitalizing on the knowledge gained from producing these fields for decades. Mature fields provide a bridge between the present and the future, offering a pragmatic solution to meet energy demands while mitigating environmental impact.

Recommended additional reading at OnePetro: www.onepetro.org.

SPE 214437 Fluid Modeling of Underground Hydrogen Storage in a Depleted Natural Gas Field by Markus Hays Nielsen, Whitson, et al.

IPTC 22786 Particulate Wellbore Fluid-Strengthening Methodology—Design and Application in an Offshore Vietnam Severely Depleted Sand Reservoir by Dourado Motta Marcelo, SLB, et al.

SPE 213405 Characterizing Movable and Nonmovable Zones in a Mature Carbonate Reservoir: A Novel Work Flow Using Resistivity Logs by Saud Al-Otaibi, Saudi Arabian Chevron, et al.

SPE 214410 A Comparative Study of Hydrogen/Natural Gas Storage in a Depleted Gas Field in the Netherlands Using Analytical and Numerical Modeling by S. Hamidreza Yousefi, TNO, et al.
Approach Maximizes Marginal Field Value by Going Back to Basics
Authors: Carpenter Chris
Published: January 2024

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 32379, “Marginal Field Value Maximization by Going Back to Basics With Design-to-Value Enhancement,” by Yen P. Chan, Muhammad Y.S.M. Yasin, and Ahgheelan S. Thurai, Petronas, et al. The paper has not been peer reviewed. Copyright 2023 Offshore Technology Conference. Reproduced by permission.

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Value is defined by a quantum of functions or returns received from resources invested. In extremely marginal oil and gas fields, returns hardly meet invested resources profitably. Stranded, widely scattered resources add to the complication. The complete paper shares an approach to notional well- and facility-development concept generation for such fields by shifting emphasis to designing for value to improve project viability rigorously.

Problem Statement Based on Case Study

Case study Field X, located offshore Asia, is one of many oil resources in the region with virgin reservoir pockets and layers that are marginal in volume yet can provide a considerable recoverable volume if developed collectively. However, being horizontally scattered and shallow, with a reservoir true vertical depth (TVD) of less than 2000 m, the field was designed initially with up to 12 wells to maximize reach, thus requiring a large wellhead platform (WHP) at the surface. Gas lift was required from the first day of production, leading to two pipelines at a minimum.

Given the number of wells and surface facilities required, this led to a highly negative economic outcome. To quantify the extent of cost reductions and increase the recoverable targeted resources required to meet targeted economic indicators for a business case, the project team performed a series of sensitivity analyses.

Despite efforts to phase out field development, minimize surface facilities, and simplify well design where possible, the project remained negative in net present value because reducing the number of wells and facilities will lead to a dramatically lower estimated ultimate recovery (EUR), which is the key driver in any oil and gas development. The project team thus was presented with an almost unworkable situation where scope and cost reduction to satisfy economic returns simply meant that installation of neither wells nor facilities was viable.

The authors refer to the approach they describe in the complete paper as “going back to basics.” This approach, coupled with a design-to-value (D2V) approach, was effective in countering seemingly irreversible economic results. This approach is a systematic way to develop an optimal concept for maximum value realization because the agile approach questions every aspect of concept development to achieve minimum technical requirements while providing better clarity in cost/risk tradeoff through concept evaluation in a staircase manner. The process of executing D2V for marginal field development while managing technical risks is detailed in the following subsections for both well design and in facility-concept design.
Technology Focus: Digital Data Acquisition (January 2024)
Authors: Asarpota Jyotsna
Published: January 2024

Digital data acquisition has revolutionized the oil and gas industry, offering unprecedented opportunities for efficiency, cost reduction, and informed decision-making. Our industry is at the forefront of a digital transformation, where the effective acquisition and use of data have become paramount to success amidst global pressure for energy transition. Recent industry trends have seen a significant shift toward the use of legacy data, the integration of various sources of data, and the application of machine-learning techniques, creating a more dynamic and data-driven landscape.

Machine learning, a subset of artificial intelligence, has become a game-changer where massive data sets from various sources—including drilling, production, and reservoir data—are being analyzed to predict equipment failures, optimize drilling procedures, and improve reservoir management. Machine-learning models also can enhance safety by predicting and preventing accidents, thus reducing downtime and operational risks.

Traditionally, oil and gas companies operated in departmental silos, with different teams managing their data sources independently. Recent industry trends emphasize the integration of various data sources to create a more holistic understanding of reservoirs and operations.

The integration of well logs and seismic data, for example, provides a comprehensive view of subsurface conditions. By combining these data sources, operators can better understand geology and reservoir characteristics to improve exploration and development success.

Furthermore, by continuously monitoring and analyzing reservoir performance using data from drilling, production surveillance, and interventions, operators can make timely adjustments to production strategies, maximizing hydrocarbon recovery and field lifespan.

As technology continues to advance, the industry’s potential for further optimization and growth is boundless. Embracing these digital trends is not just a matter of staying competitive; it’s about ensuring a more sustainable and efficient future for the industry as a whole.

Recommended additional reading at OnePetro: www.onepetro.org.

OTC 32210 Pushing the Limits in Deepwater Data Acquisition for Accelerated Field Development: Industry Record Batch Well Testing by Ozgur Karacali, SLB, et al.

OTC 32643 Evaluation of Loop Current/Loop Current Eddy Fronts To Guide Offshore Oil and Gas Operations by Jill Storie, Woods Hole Group, et al.

SPE 211807 Multifrequency Data-Acquisition Model and Hybrid Neural Network for Precise Electromagnetic Wellbore Casing Inspection by Guang An Ooi, King Abdullah University of Science and Technology, et al.
Tetrapleura tetraptera Fruit Extracts Ameliorate Pentylenetetrazol-Induced Seizures as well as Ensuing Cognitive Deficit and Oxidative Stress
Authors: Ekong Moses Bassey , Bassey Okokon O. , Pessu Nelly A. , Kpobari Godslove V. , Okuku Ekereobong I. , Bassey Rosemary B. , Johnson Ekemini I. , Peter Aniekan I. , Okokon Jude E. , Akpanabiatu Monday I.
Published: January 2024

Kindling is an experimental-induced seizure consistent with epilepsy disease, a chronic neurological disorder characterised by spontaneous and repeated seizures. This disease is associated with oxidative stress, and most therapeutic strategies against epilepsy aim at improving the antioxidant defence mechanism in the brain. However, prolonged usage and associated adverse side effects limit antiepileptics, warranting natural antioxidant patronage. The present study investigated the behavioural and antioxidant actions of Tetrapleura tetraptera fruit extracts (TT) against pentylenetetrazol (PTZ)-kindling rats. Twenty-five male Wistar rats (150–180 g) were assigned into five groups (1–5, n = 5): Control (normal saline, 5 ml/kg body weight, b.w.), PTZ-only (40 mg/kg/b.w. i.p.), and groups 3–5 administered PTZ (40 mg/kg/b.w. i.p.) after, respectively, receiving oral TT (500 mg/kg/b.w.), TT flavonoid (fTT, 50 mg/kg/b.w.), and sodium valproate (SV, 15 mg/kg/b.w.). All administrations were carried out 48 hourly for 21 days. In the end, buried food, novel object recognition (NOR), Y-maze, elevated plus maze (EPM), and beam walk tests were done, and the rats were sacrificed. Whole brains were processed for antioxidant assays. The results showed a high (p < 0.05) seizure score and buried food test latency, preference for the familiar object in the NOR test, aversion to open-arm and reduced grooming in the EPM, reduced beam walk latency, elevated brain malondialdehyde (MDA), and decreased superoxide dismutase (SOD) in the PTZ group. The TT, fTT, and SV suppressed seizure, decreased buried food latency, `preference for the novel object and open-arm, increased grooming, decreased brain MDA, and elevated SOD. In conclusion, TT extracts protected against PTZ-induced cognitive deficits and brain oxidative stress, with results similar to those of the standard anticonvulsant drug, SV.
YWHAG acts as a prognostic marker and is correlated with immune infiltration and cell metastasis in pancreatic cancer
Authors: Wang Daijun , Gu Yanmei , Wang Tongxin , Wang Wenxuan , Wu Songling , He Wenting , Zhao Yang , Li Yumin
Published: January 2024

Pancreatic cancer (PC) is a fetal disease, which is characterized by early metastasis and immune evasion of tumor microenvironment (TME). The current study was designed to identify the potential biomarkers related to metastasis and CD8 + T infiltration in PC. Weighted Gene Co-expression Network Analysis (WGCNA) and protein interaction network were utilized in conjunction with DEGs of PC sourced from TCGA and GEO databases to identify hub genes. The role of YWHAG (tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein gamma) in immune infiltration and cancer metastasis was verified using single-cell sequencing data (GSE154778) of PC. We elucidated the biological effect of YWHAG on PC cells by conducting functional assays. The grey module of WGCNA was presented to be a hub signature. The high level of YWHAG in metastatic cancers was associated with a high degree of T cell infiltration compared with primary tumors. YWHAG was confirmed to be an independent predictor for prognosis. Furthermore, YWHAG silence suppressed cell malignant behavior. When co-cultured with T cells, YWHAG knockdown resulted in an increase in the secretion of TNF-α and a decrease in the secretion of IL-10. Enrichment analysis indicated that YWHAG was involved in focal adhesion and Wnt signaling pathway, which were confirmed by western blotting. In this study, we explored biomarkers associated with metastasis and immune escape, and YWHAG was identified as a key regulator for PC. YWHAG facilitated malignant progression in PC and might be a promising target for immunotherapy by affecting CD8 + T cells infiltration.
Experimental investigation of crest-to-crest wave spring and new lattice structure with enhanced load bearing capacity
Authors: Kumar Ravi Ranjan
Published: January 2024

Instead of foam, 3D printed lattice structure gives full design freedom to achieve the required mechanical property. The wave springs are like a lattice structure which has enhanced characteristics like load bearing capacity, stiffness and energy absorption, energy release characteristics etc. Wave spring may be helpful in the application of smooth landing of drones, robotic structures, vibration isolators. Using the Additive manufacturing, the overlapped lattice structures, without overlapped lattice structures and the overlapped wave spring are fabricated. For the lattice structure, calculation of the energy absorption characteristics is key to evaluate the result of different lattice structures. The present work is focused on the Load bearing capacity, stiffness and energy loss in percentage of the overlapped wave spring and the energy absorbed characteristics of overlapped and without overlapped lattice structure. The load bearing capacity of overlapped wave spring and compressive properties of different lattice structures are obtained through universal testing machine. The result shows that the load bearing capacity of overlapped crest-to-crest wave spring for the 1st Cycle is 386.237N. Comparing the lattice structure, the overlapped crest-to-crest wave spring 10 which has the highest plateau stress value of 3.545MPa is due to overlapped structure and pin arrangement over the circumferential surface. At end, the optimum lattice structure for energy absorption applications is identified.
A Dark Energy Paradigm: III. Unified Dark Sector to Predict Dark Energy, Dark Matter, and Baryonic Matter Distributions
Authors: Moon Yong-Jae , Koh Wook
Published: January 2024

A dark energy paradigm was first developed by authors to solve the cosmological constant problem and to predict lepton masses as evidence. It was used to reveal an underlying structure of a M ON D algorithm to model cold dark matter and to predict galactic dynamics. In this paper, the dark energy paradigm a unified dark sector that is based on Planck’s dimensional analysis, ΛCDM , energy conservation, and force equilibrium is further developed to predict the distribution of dark energy, dark matter, and baryonic matter as well. We find that the dark energy distribution is predicted to be ΩΛ ≈ 0.667, which agrees withthe observed value with a 1% difference. We find that dark matter and baryonic matter distributions are predicted to be Ωc ≈ 0.283 and Ωb ≈ 0.050, respectively, which agree with the observed values with 1% differences.
Natural Radionuclides on Surface Sediment Gosong Beach on the West Coast of Kalimantan Island and Associated Radiation Indices
Authors: Makmur Murdahayu , Untara Untara , Prihatiningsih Wahyu Retno , Yahya Mohamad Nur , Putra Deddy Irawan Permana , Priasetyono Yogi , Jayuska Afghani , Yusuf Saeful , Sihombing Angelina Br
Published: January 2024

Following up with radiological parameter analysis, gamma spectrometry was used to assess the specific activity of 238U, 232Th, and 40K in sediment samples collected at Gosong Beach, on the west coast of Kalimantan Island, Indonesia. Except for 40K, the mean activity levels of 238U, 232Th, and 40K were within the range of the global average. However, the radiological effects of radionuclides at Gosong Beach were found to be safe and no health hazards for the population of Gosong Beach, except for the annual gonadal dose equivalence, which was found to be slightly higher than the global average.
Energy transition in sustainable transport: concepts, policies, and methodologies
Authors: Collazos Julieth Stefany García , Ardila Laura Milena Cardenas , Cardona Carlos Jaime Franco
Published: January 2024

The growth in population, economic expansion, and the dynamism of cities have collectively driven a noticeable surge in the use of public and private transport, resulting in a significant increase in energy consumption within this sector. Consequently, the transport industry now requires an energy transition to meet mobility demands, promote economic growth, and achieve emissions reduction. This article identifies key concepts, policies, and methodologies used in the literature to study the energy transition in the transport sector through a systematic literature review. Our review methodology consisted of two parts: data collection and subsequent analysis aimed at exploring the concepts, methodologies, and policies applied within the context of the energy transition, while considering the mode of transport and geographical scope. The primary findings reveal that electricity is the predominant energy source in this transition, although its prevalence may vary depending on the mode of transport. Biofuels offer a close alternative; however, they primarily contribute to emissions reduction related to fossil fuel use. Natural gas provides an affordable alternative in heavy transport, and hydrogen represents another option, albeit with the potential expense of developing recharging infrastructure. Determinants of this transition include recharging infrastructure, both tax and non-tax incentives, public policies, the generation of electric power using renewable energies, and the proper management of battery life cycles, from mineral extraction to final disposal.
Analysis of spatial and temporal pattern changes and spatial spillover effects of regional agricultural carbon emission efficiency-Taking the Yangtze River Economic Belt as an example
Authors: Wang Mengyao , Jiang Qingrong , Xue Tingdan , Xiao Yaodong , Shan Tengyu , Liu Zihan , Li Hao , Hu Chun
Published: January 2024

Studying the temporal and spatial features and ramifications of regional agricultural carbon emission efficiency (ACEE) under a "double carbon" target is very important. This study examined the ACEE of the Yangtze River Economic Belt (YEB) from 2001 to 2021 using a Super-efficiency model. Kernel density estimation and Moran's I index were used to analyze the ACEE value from time and space perspectives. A spatial Durbin model was trained to empirically investigate the driving forces and geographic spillover effects of ACEE. From a time perspective, the ACEE of YEB shows a fluctuating upward trend. The ACEE values of Jiangsu Province, Zhejiang Province, and Shanghai City were noticeably higher than the mean value of YEB. From the space perspective, the ACEE value is downstream > midstream > upstream, and the overall spatial distribution pattern of “east high and west low” is presented. The results of the spatial Durbin model show that the ACEE of YEB has a substantial positive knock-on impact. Elements like the mechanization level and agricultural industrial structure have a positive driving effect on the YEB ACEE, while pesticides have an inhibitory effect. These results indicated that giving advanced regions their due as radiation-leading regions, strengthening information communication between regions, and encouraging the overall coordinated development of the YEB ACEE are worthwhile recommendations for future improvements.
Study on preparation and CO2 sequestration mechanism of high-strength carbonated Ladle refining slag binder
Authors: Chen Ping , Lin ShenQiu , Xiang WeiHeng , Hu Cheng , Li FangBin , Ding Yu
Published: January 2024

Ladle refining slag (LFS), classified as solid waste, presents an imminent need for comprehensive utilization. Notably, LFS contains a substantial amount of γ-Ca2SiO4 (γ-C2S) with remarkable carbonation potential, making it an ideal candidate for the production of carbonated cement through Carbon Capture and Storage (CCS) technology. This study delves into the carbonation reaction of the cast and molded lump LFS within a CO2 pressure vessel. It systematically examines the influence of water-solid ratio and water content on the initial properties of specimens. Furthermore, the investigation encompasses the impact of temperature, reaction time, and CO2 pressure on carbonation processes and resultant products, contributing to the formulation of a carbonation reaction and mass-transfer mechanism. The research reveals pivotal findings: lower water-solid ratios lead to denser specimens with higher strength, and an optimal 7% water content facilitates effective cementation and reactant dissolution. The controlled growth of densely layered calcite at 20°C yields impressive strengths of up to 120.5MPa, while elevated temperatures, such as 60°C, encourage the growth of smaller calcium carbonate crystals, resulting in a favorable carbon sequestration rate of 19.72%. Extending the carbonation time enhances the conversion rate of γ-C2S to calcium carbonate. Intriguingly, CO2 pressure exerts minimal influence on the specimens. The research elucidates the five-step carbonation process and its underlying diffusion mechanism. In essence, this study harnesses CCS technology to offer a high-value solution for addressing LFS disposal challenges.
Digitalization in Prefabricated Constructions and Reducing Carbon Emission: Empirical Evidence from China
Authors: Mao Qiuyu
Published: January 2024

This study employs the implementation of digitalization in prefabricated constructions (DPC) as an exogenous shock, utilizes provincial panel data from China spanning 1997 to 2019, and uses the difference-in-differences model to identify the causal effect of DPC on carbon emissions in the construction industry (CECI). This study shows that DPC effectively reduces CECI with the results withstanding rigorous testing, including parallel trend tests, placebo tests, and a heterogeneous time-varying treatment test based on Bacon decomposition and the DIDm approach. The mechanism test confirms that DPC reduces CECI through two channels, which are improving existing building technologies and promoting better management capabilities. At the same time, further analyses show that the carbon emissions reduction effect of DPC is more pronounced in regions with a higher degree of marketization, financially developed regions, and regions with abundant human capital. This study contributes to understanding the underlying mechanisms between DPC and CECI, providing new insights for the deeper integration of digital technologies and the construction industry. It offers new avenues for revitalizing the construction sector and facilitating achieving global carbon emissions reduction goals.
How Does Parental Involvement Affect Students' Academic Performance in Public Schools? A Case Study
Authors: Poudel Padam , Subedi Dhanapati
Published: January 2024

Parental involvement is essential in today's modern educational system because it improves school administration and student achievement. The study aimed to explain the value of parents helping their kids become good students who are accepted and motivated to learn for better. A single case study conducted by using qualitative research methodology was carried out in order to explore a) how does parental involvement affect students’ academic performance in public schools? This study included in-depth interviews, document reviews, and observation of the one sampled school and four selected participants. In order to improve children's overall academic attainment in public schools, this study examines relevant policies and pinpoints parental involvement methods. The social theories are used to better understand and discuss parental involvement in school setting. This study reveals that parental involvement is necessary for children’s learning and improve academic performance in public schools. The involvement of parents can be enhanced through a) giving more value to children education, b) enhancing parents-teachers’ relation and interactions, c) fostering home involvement in the holistic educational process, and d) strengthening school’s good governance and management. We conclude that there is a need to investigate a broad framework for parental involvement that includes decentralized administration and flexibility for creativity. Additionally, networking between parents, teachers, and schools is essential. In order to improve the learning environment and guarantee academic brilliance in public schools, it is necessary to examine how to foster parental involvement and develop networks among parents.
Pediatric acute hospitalization for Anorexia Nervosa: an economic evaluation
Authors: Marchili MariaRosaria , Bozzola Elena , Guolo Stefano , Marchesani Silvio , Spina Giulia , Mascolo Cristina , Vicari Stefano , De Jacobis Isabella Tarissi , Raponi Massimiliano , Villani Alberto
Published: January 2024

Background: anorexia nervosa (AN) is a psychiatric disorders which may potentially led to a high risk of health medical complications, suicide and self-harming behaviour. Since Covid-19 pandemic onset in March 2020, evidence suggested an increase occurrence of AN. The main aim of the retrospective analysis is to define the cost of hospitalization in the acute phase (HAP) at IRCCS Bambino Gesù Children Hospital, Rome, Italy, over 2 years study. Secondary purposes are defining the main risk factors for a prolonged hospitalization (including age, sex and comorbidities) and the possible influence of Covid-19 pandemic on AN admission and hospital stay.
Methods: for the purpose of the study, we included children aged less than 18 years, admitted to IRCCS Bambino Gesù Children Hospital, Rome, Italy, with a diagnosis of AN. Medical costs were calculated consulting the Lazio Regional Health Service Tariffs. Basing on the date of hospital admission, patients were later divided into two subgroups: subgroup A included patients hospitalized prior than Covid-19 onset (from March 2019 to February 2020) and subgroup B those admitted after (from March 2020 to October 2022).
Results: a total of 260 patients has been included in the study with a median age of 15 years (range 6-18 years). The total health care cost of AN hospitalized patients was of EUR 3,352,333 with a median cost of EUR 11,124 for each admission (range EUR 930-45,739) and a median daily cost of EUR 593 (range EUR 557-930). Median cost was higher in case of comorbidities, guarded patients, enteral feeding. A prolonged hospitalization has been documented in subgroup A with a higher economic burden.
Conclusions: the economic burden of eating disorders is of note. Adequate sanitary policies as well as health economic analyses are required to gain insight into the cost-effectiveness of AN management.
Trial registration: 2526-OPBG-2021
The effect of eight weeks of respiratory muscle training on respiratory indices and the performance in adolescent male swimmers: A randomized control trial
Authors: Ghannadi Shima , Ghazalian Farshad , Niyazi Sepideh , Hasannejad Alireza , Shahi Mohammad Hossein Pourgharib , Ordibehesht Seyed Ashkan
Published: January 2024

Background: Improvement in the strength of respiratory muscles following inspiratory muscle training (IMT) has been seen in the majority types of athletes. Still, there are contradictory results of its effect on the athletes' performance, especially swimmers. The study aimed to evaluate the effect of the IMT program along with other routine exercises in increasing the performance of adolescent swimmers.
Methods: The present study was conducted on professional swimmers who were divided into intervention and control groups. Both groups had identical routine training in their team's camp. The intervention group was prescribed eight weeks of progressive IMT with a starting strength of 30% MIP daily, twice a day for three sets of 15 repetitions per set with a threshold resistance device. The control group trained with 15% maximum inspiratory pressure (MIP) constantly. Spirometric indices, MIP, and the swimming fifty meters' personal best time (50 meters PBT) were assessed before and after the trial.
Results: A total of 20 adolescent male swimmers (mean age 13.05(2.01) years; body mass index 19.85(2.31) kg/m2) were included in the study. The strength of inspiratory muscles, forced expiratory volume in the first second (FEV1) and 50meters PBT were significantly improved in the intervention group (p<0.005), however, forced vital capacity (FVC) and FEV1/EVC had no significant improvement compared to the control group (p>0.005).
Conclusion: Findings indicate the importance of using IMT in the process of swimming education and could help coaches provide swimmers with more effective IMT protocols to maximize the benefits of training.
Experimental autoimmune encephalomyelitis reduces the immunomodulatory properties of mesenchymal stem cells
Authors: Yeganeh Alireza , Ajamian Farzam , Farrokhi Sheida , Heidari Neda , Fathollahi Anwar , Hashemi Seyed Mahmoud , Yeganeh Farshid
Published: January 2024

Introduction: The impact of disease conditions on the differentiation capability of mesenchymal stem cells (MSCs) has been studied well. However, how disease-related alterations in MSCs affect the immune response has not been reported.
Materials & Methods: MSCs were isolated from adipose tissue of healthy and experimental autoimmune encephalomyelitis (EAE) mice and cultured in DMEM media with or without lipopolysaccharides (LPS, 10 ng/mL) preconditioning. The effects of MSC-conditioned media (CM) on the recall responses of splenocytes isolated from EAE mice were evaluated in vitro.
Results: MSCs obtained from healthy mice produced more IL-10 than those isolated from EAE mice, but no difference in TGF-β production was observed. The expression of Foxp3 and Gata3 transcription factors, as well as IL-10 and NO levels in the splenocytes of EAE mice that were treated with MSC-CM of EAE mice, were significantly lower than in cells treated with MSC-CM of healthy mice. Moreover, results showed that the mRNA level of RORγt and production of IL-17a by splenocytes of EAE mice after treatment with MSC-CM of EAE mice was significantly higher in comparison to splenocytes that were treated with healthy MSC-CM. However, the mRNA expression level of T-bet and the concentration of IFN-γ were statistically similar in splenocyte culture after treatment with MSC-CM of healthy and EAE mice.
Conclusion: Results revealed that MSCs of EAE mice had a lower ability to upregulate Foxp3 mRNA and down-modulate recall immune responses of EAE splenocytes that were restimulated with MOG35-55 than healthy MSCs.
Agreement between heart rate variability - derived vs. ventilatory and lactate thresholds A systematic review with meta-analyses
Authors: Tanner Valérian , Millet Grégoire P. , Bourdillon Nicolas
Published: January 2024

Background
This systematic review with meta-analyses aims to assess the overall validity of the first and second heart rate variability - derived threshold (HRVT1 and HRVT2, respectively) by computing global effect sizes for agreement and correlation between HRVTs and reference – lactate and ventilatory (LT-VTs) – thresholds. Furthermore, this review aims to assess the impact of subjects’ characteristics, HRV methods, and study protocols on the agreement and correlation between LT-VTs and HRVTs.
Methods
Systematic computerised searches for studies determining HRVTs during incremental exercise in humans were conducted between March and August 2023 using electronic databases (Cochrane Library, EBSCO, Embase.com, Google Scholar, Ovid, ProQuest, PubMed, Scopus, SportDiscus, Virtual Health Library and Web of science). The agreements and correlations meta-analyses were conducted using a random-effect model. Causes of heterogeneity were explored by subgroup analysis and meta-regression with subjects’ characteristics, incremental exercise protocols and HRV methods variables and compared using statistical tests for interaction. The methodological quality was assessed using QUADAS-2 and STARDHRV tools. The risk of bias was assessed by funnel plots, fail-safe N test, Egger's test of the intercept and the Begg and Mazumdar rank correlation test.
Results
Fifty included studies (1’160 subjects) assessed 314 agreements (95 for HRVT1, 219 for HRVT2) and 246 correlations (82 for HRVT1, 164 for HRVT2) between LT-VTs and HRVTs. The standardized mean differences were trivial between HRVT1 and LT1-VT1 (SMD = 0.08, 95% CI -0.04–0.19, n = 22) and between HRVT2 and LT2-VT2 (SMD = -0.06, 95% CI -0.15–0.03, n = 42). The correlations were very strong between HRVT1 and LT1-VT1 (r = 0.85, 95% CI 0.75–0.91, n = 22), and between HRVT2 and LT2-VT2 (r = 0.85, 95% CI 0.80–0.89, n = 41). Moderator analyses showed that HRVT1 better agreed with LT1 and HRVT2 with VT2. Moreover, subjects’ characteristics, type of ergometer, or initial and incremental workload had no impact on HRVTs determination. Simple visual HRVT determinations were reliable, as well as both frequency and non-linear HRV indices. Finally, short increment yielded better HRVT2 determination.
Conclusion
HRVTs showed trivial differences and very strong correlations with LT-VTs and might thus serve as surrogate thresholds and, consequently for the determination of the intensity zones. However, heterogeneity across study results and differences in agreement when comparing separately LTs and VTs to HRVTs were observed, underscoring the need for further research. These results emphasize the usefulness of HRVTs as promising, accessible, and cost-effective means for exercise and clinical prescription purposes
Activation of cannabinoid receptor 2 inhibits LPS-induced neuroinflammation via PI3K/Akt signaling pathway in mice
Authors: Wang Bingchao , denghan 邓晗 , Sui Yunjie , Liu Xinyu , Ren Yuqian , Ma ZeGang
Published: January 2024

Parkinson's disease (PD) is a common neurodegenerative disease characterized by selective loss of dopaminergic neurons in the substantia nigra (SN) and neuroinflammation mediated by overactivated microglia and astrocytes. Cannabinoid receptor 2 (CB2R) is primarily present on peripheral immune cells and microglia, exerts a significant immunomodulatory effect. However, its antineuroinflammatory effects and the precise mechanism are still unclear. Therefore, this study attempts to investigate the effect of CB2R on neuroinflammation and the underlying mechanisms.
Mice were injected with Lipopolysaccharide (LPS) into both sides of the SN using a stereotactic injection method to establish neuroinflammatory model. Pole test and rotarod test were performed to examine the ability of balance and motor coordination of mice. Immunohistochemistry (IHC) and immunofluorescence (IF) were performed on brain tissue sections to observe of tyrosine hydroxylase (TH), Iba1 and GFAP. RT-PCR was examined for inflammatory factors TNF-α, IL-6, IL-1β, iNOS and COX-2. The expression of PI3K/AKT signaling pathway-related proteins was examined by Western blot. Our studies showed that CB2R agonist (JWH133) protected dopaminergic neurons and improve motor dysfunction by inhibiting the activation of glial cells and the release of pro-inflammatory mediators in SN of mice induced by LPS. Furthermore, JWH133 also restored the phosphorylation of PI3K and Akt, which was downregulated by LPS in SN. However, CB2R knockout mice aggravated the loss of dopaminergic neurons and the decline of motor function. After CB2R knockout, the number of activated glial cells was significantly increased, and the expression of pro-inflammatory mediators was increased. The results suggested that activation of CB2R ameliorated LPS-induced neuroinflammation through the PI3K/Akt pathway.
Multi-frequency piezoelectric vibration energy harvesters powered sensing in power grid transformer
Authors: Wang Lu , Duan Congsheng , Li Chunlong , Wang Qian , Huang Hui , Ju Dengfeng , Liu Hongjing , Han Xiangguang , Zhao Libo , Jiang Zhuangde , MAEDA Ryutaro
Published: January 2024

With the development of smart grid, many wireless sensor nodes (WSN) used in monitoring grid equipment need continuous power supply. This work propose a multi-frequency array piezoelectric vibration energy harvester (PVEH) powering WSN based on the grid transformers vibration of 100, 200 and 300 Hz. The PZT bimorph with U shaped mass sturcture is design and opitimized by finite element simulation. The bonding method of epoxy conductivity and insulation is studied for PZT bimorph and aluminum packaged PVEHs. The equivalent circuit modeling and interface circuit of PVEHs are studied in LTspice simulation. Through the whole system design of the array PVEHs powered WSN circuit with LTC3331 chip, the WSN can run continuously in simultation and experimental verification. The feasibility of multi-frequency PVEH powered WSN is verified on the 500 kV transformer in filed operation. This research has important application value to the design of WSN self-power supply for smart grid.
RETRACTED: AGLA DSS: Facilitating the Planning of Agro-Ecological Soil Utilization and Management Systems
Authors: aqrawi pearis M. , aydemir Salih
Published: January 2024

The authors have requested that this preprint be removed from Research Square.
A Highly Efficient Resource Slicing and Scheduling Optimization Algorithm for Power Heterogeneous Communication Networks Based on Hypergraph and Congruence Entropy
Authors: Wang Wendi , Jiang Chengling , Yang Linqing , Zhu Hong , Zhou Dongxu , Zhu Xiaorong
Published: January 2024

New services, such as distributed photovoltaic regulation and control, pose new service requirements for networks in the new power system. These requirements include low latency, high reliability, and large bandwidth. Consequently, power heterogeneous communication networks face the challenge of maintaining QoS while enhancing network resource utilization. Therefore, this paper puts forward a highly efficient optimization algorithm for resource slicing and scheduling in power heterogeneous communication networks. Our first step involves establishing an architectural description model of heterogeneous wireless networks for electric power based on hypergraph. This model characterizes complex dynamic relationships among service requirements, virtual networks, and physical networks. The system congruence entropy characterizes the degree of matching between the service demand and resource supply. An optimization problem is formed to maximize the system congruence entropy through dynamic resource allocation. To solve this problem, a joint resource allocation and routing method based on Lagrangian dual decomposition is proposed. These methods provide optimal solutions to the nodes and link mappings of service function chains. The results of our simulation demonstrate that the method proposed in this research enhances resource utilization and meets the QoS requirements of various services.
Are plant communities of roadside stormwater ponds similar to those found in natural wetlands?
Authors: D'Aoust Pierre-Alexandre Bergeron , Vaillancourt Mathieu , Pellerin Stéphanie , Poulin Monique
Published: January 2024

Stormwater ponds (SP) are increasingly used for water management along roads and in urban environments. How these constructed wetlands compare to natural wetlands in terms of biodiversity remains unclear, however. Studies to date have evaluated the subject in general terms, without considering the different habitats in SP and wetlands (from aquatic, at the pond edge, to terrestrial, at the upper bank) or other local and regional factors. This project aimed to compare the taxonomic diversity and composition of plant communities established in four different habitats of SP with that in either roadside or remote natural wetlands. We also evaluated the effect of various local and regional factors on those communities. Our results show that, globally, the species composition of the lower, wetter habitats was similar between SP and reference wetlands, especially roadside wetlands, while higher, drier habitats showed significant differentiation. Factors explaining observed differences between SP and both roadside and remote natural wetlands were water level fluctuations, road proximity, slope, and age of the SP. Stormwater ponds also exhibited lower beta diversity than both types of wetlands. Nonetheless, our study suggests that with some improvements in design, SP have the potential to more closely resemble natural wetlands.
Amorphous/crystalline heterostructured indium (III) sulfide/carbon with favorable kinetics and high capacity for lithium storage
Authors: Xue Yinghui , Xu Tianjie , Guo Yao , Song Haixiang , Wang Yuhua , Guo Zhanhu , Li Jianxin , Zhao Huihui , Bai Xiaojing , Lai Changwei
Published: January 2024

Nanostructured metal sulfides (MSs) are considered as prospective anodes for Li ion batteries (LIBs) due to their high specific capacity and abundant raw materials on Earth. Nerveless, the poor conductivity and volume expansion hinder their application. Here, we report the design of carbon coated indium sulfides nanotubes, where MIL-68 (In) metal-organic frameworks (MOF) as a precursor to generate In2S3/carbon (In2S3/C) through a solvothermal process. The construction of amorphous/crystalline structure not only combines the advantages of abundant ion channels of amorphous structure, but also has high crystal conductivity and promotes ion transport. The In2S3/C anode of LIBs exhibits excellent performance of 835 mAh·g− 1 at the current density of 0.5 A·g− 1 after 500 cycles. In2S3/C also shows outstanding long-term performance with 717 mAh·g− 1 at 2 A·g− 1. Through the kinetic analysis and ex situ XPS analysis, the lithium storage mechanism is realized. Further density functional theory (DFT) calculations indicate that In2S3/C electrodes have low adsorption energies and fast diffusion kinetics. In a word, the MOF-derived In2S3/C exhibits better electrochemical performances than commercial In2S3. This research will inspire the exploration of MSs as well as detect potential “diamonds in the rough”.