bluuebunny/crossref_metadata_2025 huggingface dataset:
Parameter Optimization of Model Predictive Direct Motion Control for Distributed Drive Electric Vehicles Considering Efficiency and the Driving Feeling
Authors: Gao Lixiao , Chai Feng
Published: July 2023

This paper presents a novel motion control strategy based on model predictive control (MPC) for distributed drive electric vehicles (DDEVs), aiming to simultaneously control the longitudinal and lateral motion while considering efficiency and the driving feeling. Initially, we analyze the vehicle’s dynamic model, considering the vehicle body and in-wheel motors, to establish the foundation for model predictive control. Subsequently, we propose a model predictive direct motion control (MPDMC) approach that utilizes a single CPU to directly follow the driver’s commands by generating voltage references with a minimum cost function. The cost function of MPDMC is constructed, incorporating factors such as the longitudinal velocity, yaw rate, lateral displacement, and efficiency. We extensively analyze the weighting parameters of the cost function and introduce an optimization algorithm based on particle swarm optimization (PSO). This algorithm takes into account the aforementioned factors as well as the driving feeling, which is evaluated using a trained long short-term memory (LSTM) neural network. The LSTM network labels the response under different weighting parameters in various working conditions, i.e., “Nor”, “Eco”, and “Spt”. Finally, we evaluate the performance of the optimized MPDMC through simulations conducted using MATLAB and CarSim software. Four typical scenarios are considered, and the results demonstrate that the optimized MPDMC outperforms the baseline methods, achieving the best performance.
Calibration Method for Airborne Infrared Optical Systems in a Non-Thermal Equilibrium State
Authors: Dong Mingyuan , Shen Honghai , Jia Ping , Sun Yang , Liang Chao , Zhang Fan , Hou Jinghua
Published: July 2023

Airborne infrared optical systems equipped with multiple cooled infrared cameras are commonly utilized for quantitative radiometry and thermometry measurements. Radiometric calibration is crucial for ensuring the accuracy and quantitative application of remote sensing camera data. Conventional radiometric calibration methods that consider internal stray radiation are usually based on the assumption that the entire system is in thermal equilibrium. However, this assumption leads to significant errors when applying the radiometric calibration results in actual mission scenarios. To address this issue, we analyzed the changes in optical temperature within the system and developed a simplified model to account for the internal stray radiation in the non-thermal equilibrium state. Building upon this model, we proposed an enhanced radiometric calibration method, which was applied to the absolute radiometric calibration procedure of the system. The radiometric calibration experiment, conducted on the medium-wave channel of the system within a temperature test chamber, demonstrated that the proposed method can achieve a calibration accuracy exceeding 3.78% within an ambient temperature range of −30 °C to 15 °C. Additionally, the maximum temperature measurement error was found to be less than ±1.01 °C.
MInet: A Novel Network Model for Point Cloud Processing by Integrating Multi-Modal Information
Authors: Wang Yuhao , Zuo Yong , Du Zhihua , Song Xiaohan , Luo Tian , Hong Xiaobin , Wu Jian
Published: July 2023

Three-dimensional LiDAR systems that capture point cloud data enable the simultaneous acquisition of spatial geometry and multi-wavelength intensity information, thereby paving the way for three-dimensional point cloud recognition and processing. However, due to the irregular distribution, low resolution of point clouds, and limited spatial recognition accuracy in complex environments, inherent errors occur in classifying and segmenting the acquired target information. Conversely, two-dimensional visible light images provide real-color information, enabling the distinction of object contours and fine details, thus yielding clear, high-resolution images when desired. The integration of two-dimensional information with point clouds offers complementary advantages. In this paper, we present the incorporation of two-dimensional information to form a multi-modal representation. From this, we extract local features to establish three-dimensional geometric relationships and two-dimensional color relationships. We introduce a novel network model, termed MInet (Multi-Information net), which effectively captures features relating to both two-dimensional color and three-dimensional pose information. This enhanced network model improves feature saliency, thereby facilitating superior segmentation and recognition tasks. We evaluate our MInet architecture using the ShapeNet and ThreeDMatch datasets for point cloud segmentation, and the Stanford dataset for object recognition. The robust results, coupled with quantitative and qualitative experiments, demonstrate the superior performance of our proposed method in point cloud segmentation and object recognition tasks.
Advances in MIMO Antenna Design for 5G: A Comprehensive Review
Authors: Raj Tej , Mishra Ranjan , Kumar Pradeep , Kapoor Ankush
Published: July 2023

Multiple-input multiple-output (MIMO) technology has emerged as a highly promising solution for wireless communication, offering an opportunity to overcome the limitations of traffic capacity in high-speed broadband wireless network access. By utilizing multiple antennas at both the transmitting and receiving ends, the MIMO system enhances the efficiency and performance of wireless communication systems. This manuscript specifies a comprehensive review of MIMO antenna design approaches for fifth generation (5G) and beyond. With an introductory glimpse of cellular generation and the frequency spectrum for 5G, profound key enabling technologies for 5G mobile communication are presented. A detailed analysis of MIMO performance parameters in terms of envelope correlation coefficient (ECC), total active reflection coefficient (TARC), mean effective gain (MEG), and isolation is presented along with the advantages of MIMO technology over conventional SISO systems. MIMO is characterized and the performance is compared based on wideband/ultra-wideband, multiband/reconfigurable, circular polarized wideband/circular polarized ultra-wideband/circular polarized multiband, and reconfigurable categories. The design approaches of MIMO antennas for various 5G bands are discussed. It is subsequently enriched with the detailed studies of wideband (WB)/ultra-wideband (UWB), multiband, and circular polarized MIMO antennas with different design techniques. A good MIMO antenna system should be well decoupled among different ports to enhance its performance, and hence isolation among different ports is a crucial factor in designing high-performance MIMO antennas. A summary of design approaches with improved isolation is presented. The manuscript summarizes the various MIMO antenna design aspects for NR FR-1 (new radio frequency range) and NR FR-2, which will benefit researchers in the field of 5G and forthcoming cellular generations.
Classification of Alzheimer’s Progression Using fMRI Data
Authors: Noh Ju-Hyeon , Kim Jun-Hyeok , Yang Hee-Deok
Published: July 2023

In the last three decades, the development of functional magnetic resonance imaging (fMRI) has significantly contributed to the understanding of the brain, functional brain mapping, and resting-state brain networks. Given the recent successes of deep learning in various fields, we propose a 3D-CNN-LSTM classification model to diagnose health conditions with the following classes: condition normal (CN), early mild cognitive impairment (EMCI), late mild cognitive impairment (LMCI), and Alzheimer’s disease (AD). The proposed method employs spatial and temporal feature extractors, wherein the former utilizes a U-Net architecture to extract spatial features, and the latter utilizes long short-term memory (LSTM) to extract temporal features. Prior to feature extraction, we performed four-step pre-processing to remove noise from the fMRI data. In the comparative experiments, we trained each of the three models by adjusting the time dimension. The network exhibited an average accuracy of 96.4% when using five-fold cross-validation. These results show that the proposed method has high potential for identifying the progression of Alzheimer’s by analyzing 4D fMRI data.
Efficacy of Vehicle Scanning Methods in Estimating the Mode Shapes of Bridges Seated on Elastic Supports
Authors: Demirlioglu Kultigin , Gonen Semih , Erduran Emrah
Published: July 2023

This study systematically assesses the efficacy of the vehicle scanning methods (VSM) in accurately estimating the mode shapes of bridges seated on elastic supports. Three state-of-the-art VSM methods are employed to obtain the mode shapes of bridges using the vehicle data during its travel. Two of the evaluated methods use a signal decomposition technique to extract the modal components of the bridge from the contact point of the response while the third one relies on the segmentation of the measured signals along the bridge deck and applying an operational modal analysis tool to each segmented signal to estimate the mode shapes. Numerical analyses are conducted on one single- and one two-span bridge, considering smooth and rough road profiles, different vehicle speeds, and presence of lead vehicle. The accuracy of the numerical models used in developing and assessing vehicle scanning models is tested, and the results of the study demonstrate the method using a half-car vehicle model and signal decomposition technique shows robustness against increasing vehicle speeds and road roughness while the method applying the segmentation of the measured signals provides relatively accurate mode shape estimates at the bridge edges at low speed, although the three methods have their limitations. It is also observed that simplified bridge and vehicle models can hide potential challenges that arise from the complexity of actual vehicle and bridge systems. Considering that a significant number of bridges worldwide are built on elastic supports, the practical success of vehicle scanning methods depends on their ability to handle elastic boundary conditions with reliability. Therefore, the article provides valuable insights into the capabilities and limitations of the current vehicle scanning methods, paving the way for further advancements and refinements in these techniques.
Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition
Authors: Alinia Parastoo , Arefeen Asiful , Ashari Zhila Esna , Mirzadeh Seyed Iman , Ghasemzadeh Hassan
Published: July 2023

Activity recognition using data collected with smart devices such as mobile and wearable sensors has become a critical component of many emerging applications ranging from behavioral medicine to gaming. However, an unprecedented increase in the diversity of smart devices in the internet-of-things era has limited the adoption of activity recognition models for use across different devices. This lack of cross-domain adaptation is particularly notable across sensors of different modalities where the mapping of the sensor data in the traditional feature level is highly challenging. To address this challenge, we propose ActiLabel, a combinatorial framework that learns structural similarities among the events that occur in a target domain and those of a source domain and identifies an optimal mapping between the two domains at their structural level. The structural similarities are captured through a graph model, referred to as the dependency graph, which abstracts details of activity patterns in low-level signal and feature space. The activity labels are then autonomously learned in the target domain by finding an optimal tiered mapping between the dependency graphs. We carry out an extensive set of experiments on three large datasets collected with wearable sensors involving human subjects. The results demonstrate the superiority of ActiLabel over state-of-the-art transfer learning and deep learning methods. In particular, ActiLabel outperforms such algorithms by average F1-scores of 36.3%, 32.7%, and 9.1% for cross-modality, cross-location, and cross-subject activity recognition, respectively.
In Situ Monitoring of Aptamer–Protein Binding on a ZnO Surface Using Spectroscopic Ellipsometry
Authors: Alshammari Adeem , van Zalinge Harm , Sandall Ian
Published: July 2023

The dissolution of zinc oxide is investigated using spectroscopic ellipsometry to investigate its suitability as a platform for biosensing applications. The results indicate that once the ZnO surface has been functionalised, it is suitably protected, and no significant dissolving of the ZnO occurs. The binding kinetics of the SARS-CoV-2 spike protein on aptamer-functionalised zinc oxide surfaces are subsequently investigated. Values are extracted for the refractive index and associated optical constants for both the aptamer layer used and the protein itself. It is shown that upon an initial exposure to the protein, a rapid fluctuation in the surface density is observed. After around 20 min, this effect stabilises, and a fixed increase in the surface density is observed, which itself increases as the concentration of the protein is increased. This technique and setup are demonstrated to have a limit-of-detection down to 1 nanomole (nM) and display a linear response to concentrations up to 100 nM.
Adjuvant Oligonucleotide Vaccine Increases Survival and Improves Lung Tissue Condition of B6.Cg-Tg (K18-ACE2)2 Transgenic Mice
Authors: Oberemok Volodymyr V. , Laikova Kateryna V. , Yurchenko Kseniya A. , Novikov Ilya A. , Makalish Tatyana P. , Kubyshkin Anatolii V. , Andreeva Oksana A. , Bilyk Anastasiya I.
Published: July 2023

The main problem in creating anti-coronavirus vaccines that target mainly proteins of the outer membrane of the virus is the rapid variability in the RNA genome of the pathogen that encodes these proteins. In addition, the introduction of technologies that can affordably and quickly produce flexible vaccine formulas that easily adapt to the emergence of new subtypes of SARS-CoV-2 is required. Universal adjuvant oligonucleotide vaccines based on conserved regions of the SARS-CoV-2 genome can take into account the dynamics of rapid changes in the virus genome, as well as be easily synthesized on automatic DNA synthesizers in large quantities in a short time. In this brief report, the effectiveness of four phosphorothioate constructs of the La-S-so-type adjuvant oligonucleotide vaccine is evaluated on B6.Cg-Tg (K18-ACE2)2 transgenic mice for the first time. In our primary trials, the oligonucleotide vaccine increased the survival rate of animals infected with SARS-CoV-2 and also reduced the destructive effects of the virus on the lung tissue of mice, activating both their innate and adaptive immunity. The obtained results show that the development of adjuvant oligonucleotide vaccine constructs of the La-S-so type is an affordable and efficient platform for the prevention of coronavirus infections, including those caused by SARS-CoV-2.
Effects of Electron Radiation on Serotonin Signaling and Reactivity of Rat Gastric Smooth Muscle
Authors: Ardasheva Raina , Prissadova Natalia , Turiyski Valentin , Tolekova Anna , Krastev Athanas , Pencheva Mina , Popov Veselin
Published: July 2023

Ionizing radiation in radiotherapy can disrupt cellular functions based on radiation type, energy, and dose. However, investigations on the effects of accelerated electrons, particularly on serotonin mediation, are limited. This study aimed to investigate changes in serotonin signal transduction (targeting 5-HT2A and 5-HT2B receptors) in gastric smooth muscle (SM) samples isolated from rats irradiated with accelerated electrons (linear accelerator Siemens Primus S/N 3561) and their effects on serotonin-induced reactions. The radiation effects were examined in samples prepared five days after the procedure. The contractile activity of smooth muscle samples was measured using an isometric method. The expression of 5-HT2A and 5-HT2B receptors was determined by immunohistochemical assay. Increased contractile reactivity to exogenous serotonin (1.10−8–1.10−4 mol/L) was observed in irradiated samples compared to controls. The expression of 5-HT2A and 5-HT2B receptors was significantly increased in the irradiated tissue. By selecting appropriate time intervals between equimolar (1.10−6 mol/L) sequential serotonin exposures, a process of desensitization associated with agonist-induced internalization was established in control samples, which was absent in irradiated samples. In conclusion, irradiation with accelerated electrons affects the agonist-induced receptor internalization of 5-HT2A and 5-HT2B receptors and increases their expression in rat gastric SM, which alters their contractile reactivity to exogenous serotonin.
Photocatalytic Degradation of Acetaminophen in Aqueous Environments: A Mini Review
Authors: Wang Zhuowen , Chen Haijun , Rong Chang , Li Anfeng , Hua Xiuyi , Dong Deming , Liang Dapeng , Liu Haiyang
Published: July 2023

Over the past few decades, acetaminophen (ACT), a typical nonsteroidal anti-inflammatory drug (NSAID), has gained global usage, positioning itself as one of the most extensively consumed medications. However, the incomplete metabolism of ACT leads to a substantial discharge into the environment, classifying it as an environmental contaminant with detrimental effects on non-target organisms. Various wastewater treatment technologies have been developed for ACT removal to mitigate its potential environmental risk. Particularly, photocatalytic technology has garnered significant attention as it exhibits high efficiency in oxidizing and degrading a wide range of organic pollutants. This comprehensive review aims to systematically examine and discuss the application of photocatalytic technology for the removal of ACT from aqueous environments. Additionally, the study provides a detailed overview of the limitations associated with the photocatalytic degradation of ACT in practical applications, along with effective strategies to address these challenges.
Trauma-Informed Educational Practices within the Undergraduate Nursing Classroom: A Pilot Study
Authors: Mayer Kala , Rothacker-Peyton Sally , Wilson-Anderson Kaye
Published: July 2023

Background: Ongoing evidence of trauma in nurses, beginning in nursing school, requires educators to take a trauma-informed approach to teaching and learning to minimize re-traumatization and to ultimately achieve socially-just student outcomes. Methods: The purpose of this study was to evaluate the outcomes of trauma-informed educational practices (TIEP) on nursing students and the trauma-informed climate in the classroom using an intervention comparison group pre-posttest design. Results: Secondary traumatic stress (STS) scores declined for both groups pre- to post-test. There was a statistically significant difference in STS change scores between intervention and comparison groups (p < 0.05), but not in the direction hypothesized. Conclusion: Findings from this study indicate that other factors in the nursing classroom might have contributed significantly to a reduction in STS. In addition to outcomes, future TIEP evaluations should explore student awareness and experiences of trauma, resilience, professional preparation, and learning outcomes in the classroom setting.
GP preferences for, access to, and use of evidence in clinical practice: a mixed-methods study
Authors: O’Brien Emer , Walsh Aisling , Boland Fiona , Collins Claire , Harkins Velma , Smith Susan M , O’Herlihy Noirin , Clyne Barbara , Wallace Emma
Published: July 2023

Background

GPs aim to provide patient-centred care combining clinical evidence, clinical judgement, and patient priorities. Despite a recognition of the need to translate evidence to support patient care, barriers exist to the use of evidence in practice.

Aim

To ascertain the needs and preferences of GPs regarding evidence-based guidance to support patient care. The study also aimed to prioritise content and optimise structure and dissemination of future evidence-based guidance.

Design & setting

This was a convergent parallel mixed-methods study in collaboration with the national GP professional body in the Republic of Ireland (Irish College of General Practitioners [ICGP]). Quantitative and qualitative findings were integrated at the interpretive level.

Method

A national GP survey was administered via the ICGP (December 2020) and seven GP focus groups were undertaken (April–May 2021).

Results

Of 3496 GPs, a total of 509 responders (14.6%) completed the survey and 40 GP participants took part in focus groups. Prescribing updates, interpretation of test results, chronic disease management, and older person care were the preferred topics for future evidence-based guidance. GPs reported that they required rapid access to up-to-date and relevant evidence summaries online for use in clinical practice. Access to more comprehensive reviews for the purposes of continuing education and teaching was also a priority. Multimodal forms of dissemination were preferred to increase uptake of evidence in practice.

Conclusion

GPs indicated that rapid access to up-to-date, summarised evidence-based resources, available from their professional organisation, is preferred. Evidence should reflect the disease burden of the population and involve multifaceted dissemination approaches.
RENOVATION OF URBAN TERRITORIES: PROBLEMS AND SOLUTIONS ON THE EXAMPLE OF BELGOROD
Authors: Oleynikov A. , ARSLAN M. , Pertsev V.
Published: July 2023

. The formation of a high-quality and comfortable urban environment is largely associated with the rational use of the territories of municipalities. To achieve maximum effective use of territories, it is often necessary to carry out renovation within their boundaries. The article discusses the planning features of the city of Belgorod: the main planning areas, their specific features. Based on the analysis, the main problems of the planning structures of the city are identified, which include: the problem of irrational use of urban land; the problem of the presence of degrading and depressed territories; the problem of scarcity of territorial resources; the problem of development of transport and planning structures; the problem of the state of the housing stock; the problem of a small number of green areas and public and recreational spaces. Based on the analysis of the planning structures of the city of Belgorod, the author puts forward a number of urban areas that are especially in dire need of renovation. A proposal for the renovation of the Cheryomushki microdistrict has been developed, which is aimed at resolving the identified problems and creating a high-quality and comfortable urban environment, saturated with housing stock, social, public, commercial and other facilities. The development of a proposal for renovation is proposed in close connection with the formation of a digital twin of the territory - a layered digital urban twin of all components of the territory and a digital twin in the form of a three-dimensional model that includes various statistical databases.
Doing the Work of Extension: Three Approaches to Identify, Amplify, and Implement Outreach
Authors: Raison Brian
Published: July 2023

This article explores the literature and practice of how the Cooperative Extension Service does its work and asks if traditional outreach and engagement models have room for innovative delivery mechanisms that may identify emerging trends and help meet community needs. It considers three innovative approaches to the educational mission: sense-making, contextual (typological) framing, and an internal starting with why concept. It discusses how each might offer processes that would help Extension workers identify and act on community needs, and how the approaches could become critical work skills that will help sustain Extension in the future.
Extension Educators' Perceptions About the NC 10% Local Food Campaign: Impacts, Challenges, and Alternatives
Authors: Ingerson Kati , Jayaratne KSU , Wymore Teisha , Creamer Nancy
Published: July 2023

This article reports on the perceptions of Extension educators who served as the Local Food Coordinators (LFCs) in promoting the North Carolina Local Food initiative. The study determined Extension agents' perceptions about the local food campaign, its impacts, campaigning partners, campaign materials, challenges, and alternatives. It was a descriptive survey research conducted with all LFCs in NC. The findings of the study support the notion that promoting local foods has positive impacts on local economies and communities, and has implications for other Extension Services to promote local food campaign as a sustainable community development initiative.
Fitting the Framework: The STEM Institute and the 4-H Essential Elements
Authors: Sallee Jeff , Peek Gina
Published: July 2023

Extension and 4-H youth development programs are addressing a shortage of scientists, engineers, and other related professionals by promoting science, technology, engineering, and math (STEM). This case study illustrates how the Oklahoma 4-H Youth Development program trained youth-adult teams to design and implement STEM projects. The STEM Institute incorporated the 4-H Eight Essential Elements to structure programming. Using the Essential Elements framework helped ensure quality STEM programming, participant retention, and successful community projects lead by youth leaders. The most successful projects were youth driven and adult facilitated, used local partners, and took time to develop.
Why Work for Extension? An Examination of Job Satisfaction and Motivation in a Statewide Employee Retention Study
Authors: Harder Amy , Gouldthrope Jessica , Goodwin Jeff
Published: July 2023

Understanding motivation and job satisfaction is important for increasing rates of employee retention within Extension. The purpose of the study reported here was to explore factors positively affecting the motivation of Extension professionals in their careers. An online survey of Extension professionals in Colorado was conducted. Factors such as the opportunity to make a difference in people's lives, variety in daily activities, leave policies, and flexible scheduling were identified as positive motivators, but perceptions of motivators were significantly different between satisfied and dissatisfied employees. Recommendations for improving retention based on what motivates Extension professionals are discussed.
Experiential Learning for Extension Professionals: A Cross-Cultural Immersion Program
Authors: Daniel Jenna , Duncan Dennis , Navarro Maria , Fuhrman Nick
Published: July 2023

As the U.S. population becomes more diverse, Extension is called upon to modify its programming to meet the needs of its changing constituency. Georgia Extension created a professional development curriculum to assist Extension professionals in crafting effective programming for the rapidly growing Latino population. The study reported here explores qualitatively how Extension professionals in Georgia experienced their Cross-Cultural Immersion Program (CCIP). Through an interview-based study, three themes emerged from the data. Extension participants experienced: (1) diverse familial relations in Latino populations, (2) obstacles during programming, and (3) greater personal over professional gains through the CCIP.
Strengthening 4-H by Analyzing Enrollment Data
Authors: Hamilton Stephen , Northern Angela , Neff Robert
Published: July 2023

The study reported here used data from the ACCESS 4-H Enrollment System to gain insight into strengthening New York State's 4-H programming. Member enrollment lists from 2009 to 2012 were analyzed using Microsoft Excel to determine trends and dropout rates. The descriptive data indicate declining 4-H enrollment in recent years and peak enrollment at grade 5. New members are more likely to drop out than members who have been involved for more than a year. New members who are high school students drop out at the highest rate. Returning members who are high school students drop out at the lowest rate.
Impact of Education on Grandparents’ Actions in Raising Grandchildren
Authors: Doggett Diana , Marken Dory , Caldwell Diana
Published: July 2023

Grandparents raising grandchildren represent a population of adults who confront complex interpersonal and environmental challenges. The intent of this case study was to gather and interpret evaluative data to better understand the impact of a 1-day community education program for grandparents who raise their grandchildren. Extension's philosophy of systematic program evaluation to improve supports for families and communities furnished the framework for the project. Elements felt to be essential for a well-designed, 1-day grandparent education program have been extracted from past evaluation cycles and offered here as recommendations.
Kentucky's Urban Extension Focus
Authors: Young Jeffery , Vavrina Charles
Published: July 2023

Defining the success of Urban Extension units is sometimes challenging. For those Extension agents, specialists, administrators, and others who have worked to bring solid, research-based programming to urban communities, it is no surprise that working in these communities brings its own unique and sometimes difficult challenges. Kentucky's Urban Extension Forum was designed to help identify both the structural barriers to urban Extension success as well as possible solutions
Thinking Collectively: Using a Food Systems Approach to Improve Public Health
Authors: Morgan Kathleen , Fitzgerald Nurgul
Published: July 2023

A nation can only be as healthy as its people. The daily news reminds us that we are overweight and obese and are suffering from preventable chronic diseases and that our country cannot sustain the level of health care costs through the next few decades. Extension professionals have the knowledge and experience to examine our food system closely and carry the momentum to promote healthy sustainable food systems aligned with our national guidelines. The goal is to create linkages among food systems, public health, and sustainable agriculture in order to achieve healthier eating and healthier communities.
Strengthening Family Members of Incarcerated Youth: A Productive Role for Extension
Authors: Brandon Dorothy , Wilson Constance , Carter Jannie , Johnson LaKeisha
Published: July 2023

The challenge to provide incarcerated youth the skills needed to succeed and avoid recidivism has prompted the use of family-systems approaches in juvenile detention centers. A quasi-experimental study was conducted in northern Alabama to determine the impact of a conflict resolution workshop on the family members of incarcerated youth. Results indicated a significant difference in participants' knowledge and anticipated behavior after attending the workshop. It is important to note that this research further supports the use of family-systems approaches in juvenile detention centers.
Thiol–Disulfide Exchange Coordinates the Release of Nitric Oxide and Dexamethasone for Synergistic Regulation of Intestinal Microenvironment in Colitis
Authors: Lu Junna , Shi Tongfei , Shi Chengxin , Chen Fangman , Yang Chao , Xie Xiaochun , Wang Zheng , Shen He , Xu Jiaqi , Leong Kam W. , Shao Dan
Published: July 2023

The cell-specific functions of nitric oxide (NO) in the intestinal microenvironment orchestrate its therapeutic effects in ulcerative colitis. While most biomaterials show promise by eliciting the characteristics of NO, the insufficient storage, burst release, and pro-inflammatory side effects of NO remain as challenges. Herein, we report the development of thiol–disulfide hybrid mesoporous organosilica nanoparticles (MONs) that improve the storage and sustained release of NO, broadening the therapeutic window of NO-based therapy against colitis. The tailored NO-storing nanomaterials coordinated the release of NO and the immunoregulator dexamethasone (Dex) in the intestinal microenvironment, specifically integrating the alleviation of oxidative stress in enterocytes and the reversal of NO-exacerbated macrophage activation. Mechanistically, such a synchronous operation was achieved by a self-motivated process wherein the thiyl radicals produced by NO release cleaved the disulfide bonds to degrade the matrix and release Dex via thiol–disulfide exchange. Specifically, the MON-mediated combination of NO and Dex greatly ameliorated intractable colitis compared with 5-aminosalicylic acid, even after delayed treatment. Together, our results reveal a key contribution of synergistic modulation of the intestinal microenvironment in NO-based colitis therapy and introduce thiol–disulfide hybrid nanotherapeutics for the management of inflammatory diseases and cancer.
Evaluasi Agregat Lokal Sebagai Lapisan Base Perkerasan Permeabel
Authors: Oktariza Hendra , Gofar Nurly
Published: July 2023

Permeable pavement is a type of road pavement that allows stormwater to inﬁltrate through the pavement surface and the underlying base layer to reduce surface runoff.  Open-graded aggregates are often used as the base layers to temporarily store water and allow the water to infiltrate slowly into the soil below the pavement or through sub-drainage. The strength of open graded material is usually less than the dense-graded materials. Therefore; the mixture of the aggregate for both base and drainage layer need to be designed carefully.  In Indonesia, the criteria for aggregate as both base and drainage layer is stipulated in Bina Marga Specification. This study aims at designing an optimum mixture of local aggregate to be used as the base of permeable pavement. The mixture should fulfil the mechanical properties based on laboratory CBR value, and hydraulic properties based on storage capacity and the coefficient of permeability. Five aggregate samples of Andesite origin from South Lampung area were selected for this study. Careful laboratory test procedures were adopted to select configurations of aggregate sizes (design mix formula) that satisfies the requirements both as Aggregate A and as drainage layer. A dense graded aggregate based on the grain size distribution was prepared for design mix formula to meet the requirement as Aggregate A.  Then, the fine particles passing No 40 sieve was removed to form open aggregate sample suitable as drainage layer. Both samples were tested for grain size distribution, CBR, permeability and storage capacity. Results show that the local aggregate fulfils the requirements both as base and as drainage layer with average CBR of 92%, average storage capacity of 18.32% and average permeability of 0.05 m/sec. The thickness of the permeable pavement layer could be estimated based on storage capacity and the permeability of the drainage layer.
Turismo urbano ¿comunitario? Experiencias en barrios populares de la ciudad de Buenos Aires
Authors: Gonzalez Bracco Mercedes
Published: July 2023

Este trabajo propone discutir el concepto de turismo comunitario, indagando sobre sus particularidades en los espacios urbanos, su impulso y/o gestión por parte de otros actores por fuera de las comunidades, y su impacto en territorios históricamente relegados simbólica y materialmente. Para ello tomaremos como referencia dos estudios de caso: la Vivera Orgánica y el Patio Gastronómico Rodrigo Bueno en el barrio homónimo, y Ajayu, en el Barrio Mugica-Villa 31. En el marco de una investigación más amplia, esta presentación se propone entonces indagar acerca de los vínculos de ambos proyectos con las agencias de gobierno involucradas con cada uno, buscando establecer las alianzas y estrategias de los actores involucrados en la concreción y desarrollo del turismo en el territorio.
« L’impossible faute dolosive des constructeurs ? »
Authors: Cafarelli François
Published: July 2023

La faute dolosive des constructeurs est caractérisée par la violation grave par sa nature ou ses conséquences, de leurs obligations contractuelles, commise volontairement et sans qu'ils puissent en ignorer les conséquences. Si l’intention de nuire n’est pas une condition d’identification d’une telle faute, la mise en évidence, plusieurs années après un chantier, d’une volonté des constructeurs de taire des problèmes graves en toute connaissance de cause reste particulièrement difficile.
Sursis à statuer en vue d’une régularisation d’un permis de construire résultant de l’évolution des règles d’urbanisme
Authors: Delmas Rémi
Published: July 2023

Saisie sur renvoi après cassation, la cour administrative d’appel de Lyon juge, sur conclusions contraires de son rapporteur public, que la modification des règles d’urbanisme qui étaient méconnues par le permis litigieux ne suffit pas à emporter sa régularisation : en application de l’article L. 600-5-1 du code de l’urbanisme, il appartient donc au juge de surseoir à statuer afin que l’autorité compétente adopte, le cas échéant, une mesure de régularisation du permis. Cette solution, ultérieurement approuvée par le Conseil d’État, rappelle que l’office du juge dans le contentieux de l’urbanisme s’inscrit encore dans celui de l’excès de pouvoir, gouverné par le principe d’appréciation de la légalité de l’acte à la date de son adoption.
La régularisation de travaux portant sur une construction irrégulièrement édifiée ou transformée.
Authors: Slimani Fariel
Published: July 2023

La célèbre jurisprudence Thalamy dégage un principe selon lequel, une construction ayant été irrégulièrement édifiée, doit faire l’objet d’une régularisation par le propriétaire qui envisage d’effectuer les nouveaux travaux, et doit présenter une demande d’autorisation portant sur l’ensemble de la construction. Dans le cas où l’autorité compétente est saisie d’une demande qui ne satisfait pas cette exigence, elle est alors tenue d’inviter son auteur à présenter une nouvelle demande portant sur l’ensemble du bâtiment. Ainsi, l’autorité administrative pourra délivrer au pétitionnaire un permis de construire modificatif à condition que les modifications apportées ne remettent pas en cause la conception générale du projet initial, et que la construction autorisée ne soit pas achevée. Seulement, le propriétaire ayant procédé à une démolition intégrale, plutôt qu’une réhabilitation, ne permet pas à l’autorité compétente d’apprécier, si, par l’ampleur des modifications apportées au projet tel qu’initialement approuvé, ne remettait pas en cause la conception générale. Pour la cour d’appel, l’autorité administrative compétente n’aurait pas dû délivrer ce permis modificatif, mais inviter le pétitionnaire à présenter une nouvelle demande portant sur l’ensemble de la construction. Par ailleurs, le juge ne peut pas surseoir à statuer ou annuler partiellement le permis délivrer afin de régulariser la situation du pétitionnaire, car ce vice est insusceptible de faire l’objet d’une mesure de régularisation prévue aux articles L. 600-5 et L. 600-5-1 du code de l’urbanisme.
Using Bayesian Piecewise Growth Curve Models to Handle Complex Nonlinear Trajectories
Authors: Marvin Luca , Liu Haiyan , Depaoli Sarah
Published: July 2023

Bayesian growth curve modeling is a popular method for studying longitudinal data. In this study, we discuss a flexible extension, the Bayesian piecewise growth curve model (BPGCM), which allows the researcher to break up a trajectory into phases joined at change points called knots. By fitting BPGCMs, the researcher can specify three or more phases of growth without concern for model identification. Our goal is to provide substantive researchers with a guide for implementing this important class of models. We present a simple application of Bayesian linear BPGCMs to childrens' math achievement. Our tutorial includes Mplus code, strategies for specifying knots, and how to interpret model selection and fit indices. Extensions of the model are discussed.
Component policies for the formation of the contingent of applicants as a tool for ensuring the competitiveness of agricultural universities
Authors: Varchenko Olga , Krysanov Dmytro , Hrynchuk Julia , Rybak Nadia
Published: July 2023

Introduction. The article examines the theoretical principles and foreign practical approaches of vocational guidance work of institutions of higher education of an agrarian profile. The possibility of applying theoretical approaches and special tools of career guidance work in domestic agricultural universities was evaluated. A system of formation of the contingent of entrants by institutions of higher agricultural education is proposed.
Goal. The purpose of the article is to generalize the theoretical principles and practical approaches to the formation of a high-quality composition of the contingent of applicants by agricultural universities and to substantiate the components of career guidance policy in terms of increasing their competitiveness.
Method (methodology). The following scientific methods of cognition are used in the article: the method of system analysis, the abstract-logical method when summarizing foreign experience regarding vocational guidance support for secondary school students and when justifying the possibility of its use in domestic practice; the method of retrospective analysis, highlighting the tools of career guidance activities of agricultural universities, induction and deduction when justifying the policy of forming the contingent of applicants by agricultural higher education institutions; abstract-logical and monographic methods for theoretical generalization and formulation of conclusions.
The results. The foreign experience regarding purposeful career guidance support for students in choosing an agricultural profile is summarized and the expediency of its use in domestic practice is substantiated. The system of formation of the contingent of applicants by institutions of higher agrarian education is summarized, the algorithm of policy formation of agricultural universities with regard to potential applicants is proposed, and the components of the career guidance policy in terms of increasing their competitiveness are substantiated. The target groups of career guidance influence of institutions of higher agricultural education are characterized. It was determined that the successful implementation of the developed concept of attracting applicants can be ensured on the basis of the use of marketing tools and rational positioning of agricultural universities of their services. The introduction of special career guidance tools for the organization of the educational process at the village school level is proposed and substantiated.
Wide Area Disaster Management System Using Mobile Intranet
Authors:   School of Computing and Information Technology, REVA University, Bengaluru, India., Anitha K , Khadri Tejus ,   School of Computing and Information Technology, REVA University, Bengaluru, India., S Tejas Purvimath ,   School of Computing and Information Technology, REVA University, Bengaluru, India., TD Venkatesh ,   School of Computing and Information Technology, REVA University, Bengaluru, India., Nesarikar Yash ,   School of Computing and Information Technology, REVA University, Bengaluru, India.
Published: July 2023

On the occasion of a large-scale disaster, sharing of information functionality with everyone is important. However, there were many cases where information sharing was not actually well functioned because the disaster information network infrastructure did not consider the system failure when the disaster happened. In our findings, we focus on the fact that the disaster management systems are operated on each local area. The system redundancy is realized by sharing the system resources and integrating the disaster information into a large disaster system while decentralizing the system and network loads. And, the system failure can be recovered by introducing system failure detection function for server failure and link disconnection and dynamically reconstructing the network system. In order to verify the effectiveness of the suggested method, we constructed a nationwide, disaster information network prototype system over Japan Gigabit Network (JGN2), implemented Wide-area Disaster Information sharing system (WIDIS) and evaluated its functionality and performance.
Android Application on Plant Disease Identification using Tensorflow
Authors:   School of C&IT, REVA University, India, Gowda Naveen Chandra , Kumar Sunil ,   School of C&IT, REVA University, India, Majumbdar Subham ,   School of C&IT, REVA University, India, Abhishek Koneti Naga ,   School of C&IT, REVA University, India, Sarode Parikshit ,   School of C&IT, REVA University, India
Published: July 2023

The changes in environment and climate lead to various diseases in plants. These diseases are sometimes difficult to identify without the right knowledge and expertise. The farmers and other plantation growers do not possess the expertise and resources to correctly identify the diseases of plants and their remedies. To handle this problem machine learning technology can be used, which can correctly identity the disease of the plants and display the remedies to the end user. Any new emerging disease can be added by proper botanist and their associations for the awareness of farmers. The machine learning system learns about the plant diseases from large datasets and gets trained to correctly identify new test cases given as an input by the farmers through the camera of their smart phones. Here we propose the methodology uses tensorflow incorporated with android application which can suggest the user about the disease.
Automatic Noise Detection and Reduction in Images
Authors:   REVA University, India, C Manjunath P , S Dhanush. ,   REVA University, India, Teja G.Uday ,   REVA University, India, Srinidhi G. ,   REVA University, India, Babu N.Madhu ,   REVA University, India
Published: July 2023

Data classification in presence of noise will cause a lot of worse results than expected for pure patterns. In the proposed work we tend to investigate the drawback within the case of deep convolutional neural networks so as to propose solutions which will mitigate influence of noise. The main contributions presented in this proposed work include using convolution neural network as an image classifier for detecting noise in the images and using different opencv2 inbuilt methods to mitigate noise in the images. Though a number of techniques are introduced for this purpose, using neural networks we can achieve a greater accuracy.
IoT Based Smart Card Pollution & Traffic Control System
Authors:   School of C & IT, REVA University, Bangalore, India., Saha Dipu , Azam Farooque ,   School of C & IT, REVA University, Bangalore, India., Kumar Bipin ,   School of C & IT REVA University, Bangalore, India., Abedin Faizan ,   School of C & IT, REVA University, Bangalore, India., Jose Daryl ,   School of C & IT, REVA University, Bangalore, India.
Published: July 2023

In today's world, the urban mobility is one of the major problems, especially in metropolitan cities. Improvisation is required in existing traffic management systems in order to manage it efficiently. One of the primary complications among Indian cities are that the existing infrastructure cannot be expanded more. Poor and fragmented mobility has been considered a key contributor to Congested Traffic. Widening of Roads, making Flyovers, increasing public buses are not the only Solution for these challenges. Hence, we propose a smart card (RFID) based pollution and traffic control system, which has been implemented using Arduino Uno R3 along with RFID module interfaced with standalone application built over JAVA platform.