bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISIS PERSIAPAN MAHASISWA DALAM MENGIKUTI PERKULIAHAN MATA KULIAH GEOGRAFI REGIONAL SEMESTER III B PADA PRODI PENDIDIKAN GEOGRAFI TAHUN AJARAN 2022/2023
Authors: Pamungkas Bella Theo Tomi , Mundiarti Vanida
Published: October 2022

This research examines the preparation of students in exploring lectures in the Regional Geography course in semester III B and the influence between physical preparation and non-physical preparation on students' readiness to experience lectures. The benefits of this research are knowing the reflection of student lecture preparation and the situation and sharing data with students in preparing themselves for lectures. The population in this research are students of the Geography Learning Study Program of approximately 130 students. Sampling with stratified proportional random sampling technique as many as 47 students. This research uses research trials to test the validity of the instrument. There are 28 questions. will be experimented on 20 respondents, based on the results of the validity analysis, obtained rxy for each item is greater than r. the table at n = 20 is 0.444. And the results of the reliability analysis of each instrument have a reliability coefficient greater than rtable (0.444).The results of the research prove that there is no significant effect between physical preparation on the readiness of students of the Geography Learning Department to experience lectures. This matter can be seen from the results of the Partial Test obtained t. count for preparation. sport of- 0.346 with probability. 0.731 > 0.05 which means the hypothesis. rejected. 0, 005 & lt; 0.05, which means that there is a significant effect between the preparation of the lecture module on the readiness of the Geography Study Program students to explore lectures with an efficient rate of 18.5%. The total efficient number given between physical preparation, lecture module preparation on the analysis of student readiness for lectures is 18.8% and 81.2% is influenced by other factors outside the physical preparation aspect or preparation in the lecture module.
HUBUNGAN PERILAKU WARGA DI RUMAH DENGAN KONDISI LINGKUNGAN TEMPAT TINGGAL SEBAGAI FAKTOR PENYEBAB DEMAM BERDARAH DENGUE DI KELURAHAN KOTA UNENG KECAMATAN ALOK KABUPATEN SIKKA
Authors: Da Cunha Maria Febrina Carola , Samin Mikael , Rahmawati Arfita
Published: October 2022

This study aims to determine the relationship between the behavior of residents at home and living environmental conditions as a factor causing dengue hemorrhagic fever seen from the behavior of residents at home that affects dengue hemorrhagic fever with environmental conditions where they live as a breeding ground for the aedes aegypti mosquito. The type of research used is descriptive quantitative research.  Data collection techniques using questionnaires and observation. Respondents and places of observation in this study were 100 people and 100 houses in the Urban Village of Uneng. The positive analysis technique used in the study was univariate analysis to describe the behavioral variables of residents at home and mosquito population density with the formula for the positive proportion of houses with Aedes aegypty (HI) larvae, percentage of breeding sites with Aedes aegypty (CI) larvae, and number of breeding sites with Aedes aegypty larvae. positive for Aedes aegypti (BI) larvae and the number of houses that are not infected with larvae (ABJ). The results of the study indicate that there is a relationship between the behavior of residents at home and the condition of the living environment as a factor causing dengue hemorrhagic fever. This relationship is due to the dominant behavior of residents at home is the behavior of residents who influence the occurrence of dengue hemorrhagic fever against environmental conditions where the aedes aegypti mosquito larvae are positive. From this relationship, it was concluded that in Uneng City Village, it was very likely that residents at home could experience dengue hemorrhagic fever. This is based on the magnitude of the Bretau Index (BI) figure of 53% and the larva-free rate (ABJ) of 62%
PUBLIC-PRIVATE PARTNERSHIP AS A TOOL FOR INCREASING THE INVESTMENT ATTRACTIVENESS OF THE REGION (BY THE EXAMPLE OF THE MOSCOW REGION)
Authors: Sobol T.S.
Published: October 2022

The Institute of public-private partnership (PPP) is studied both within the framework of economic and legal science, but most of the studies on this topic were conducted even before the adoption of the Law on Public-Private Partnership. In this regard, they cannot be considered relevant. To date, many problems of regulating the PPP institute remain unresolved. For example, the content of the Law on Public-Private Partnership requires improvement. The improvement of the PPP institute should be carried out on the basis of objective indicators related to the effectiveness of the projects being implemented and the level of development of the relevant legal relations in certain regions. The relevance of the research of the institute of public-private partnership is justified by its significant role in the modernization of the economy, the active development of relevant legal relations in the Russian Federation, the presence of a number of problematic aspects of the functioning of this institute. Public-private partnership is one of the forms of investment activity, as the implementation of relevant projects increases the technical level of production, the competitiveness of regional products, reduces the burden on regional and local budgets, improves the quality and accessibility of services provided to the population, which has a positive effect on investment potential and reduces investment risks. The Moscow Region consistently leads the Rating of investment attractiveness of Russian regions. Its investment potential is characterized as a potential with maximum opportunities and with minimal investment risks. To improve the implementation of public-private partnership in the Moscow region, it is necessary to propose the implementation of a mechanism for direct investment in startups and small and medium-sized businesses in the Russian market.
Analysis of the effectiveness of the SIRS, qSOFA and MEWS scale for the sepsis identiﬁcation in oncohematological patients. Gematologiya i transfuziologiya
Authors: Lyanguzov A. V. , Luchinin A. S.
Published: October 2022

Introduction. Sepsis is one of the main causes of high mortality in oncohematological patients. Sepsis is diagnosed using different scoring scales, but the accuracy of the diagnosis varies.

Aim — to determine the effectiveness of SIRS, qSOFA and MEWS scales for the diagnosis of sepsis in oncohematological patients.

Materials and methods. Study participants included 202 patients hospitalized in the intensive care unit with infectious complications — 112 (55 %) male, 90 (45 %) female. The median age was 57 years. The estimated predictors were the criteria of SIRS, qSOFA and MEWS scales and other significant indicators. The Boruta method was employed to select the predictors. A multiple binomial logistic regression model was used to determine the prognostic value of the predictors. The probability of sepsis was calculated based on the regression equation. The correlation between sepsis probability and the prognostic scales was assessed using correlation analysis (Kendall rank correlation coefficient).

Results. Diagnoses were confirmed by scales in 95 of 202 (47 %) patients: SIRS — in 77 (81 %), qSOFA — in 31 (33 %), MEWS — in 65 (68 %). Of the 19 predictors initially included in the study, the final logistic regression model included 6: respiratory rate, heart rate, impaired urine output, systolic blood pressure, body temperature, and Glasgow coma scale level, which matched MEWS criteria. The median probability of sepsis was 0.38 (0.079–0.921). The results of the calculated probability of sepsis, according to the logistic regression model, correlated most closely with the score on the MEWS scale, to a lesser extent — with that on SIRS and qSOFA.

Conclusion. The MEWS scale is a more suitable tool for the diagnosis of sepsis than SIRS and sofa in oncohematological patients.
Endothelial-platelet interaction in sepsis
Authors: Divakova Yu. V. , Koloskov A. V.
Published: October 2022

Introduction. Endothelial cells and platelets are actively involved in pathogenetic processes in sepsis — an unregulated reaction of the host organism in response to infection, leading, on the one hand, to the development of prothrombotic, and on the other hand, to hemorrhagic readiness.

Aim — to summarize the current information on the mechanisms of intercellular interaction between endotheliocytes and platelets in sepsis.

Main findings. The development of multiple organ failure, which increases the likelihood of an unfavorable outcome of sepsis, is partly due to endothelial dysfunction, as well as the involvement of platelets in the pathogenetic process. Under physiological conditions, an anatomically and functionally intact endothelium is important to prevent microvascular thrombosis. Although platelets are most associated with hemostasis, they perform many other functions, including participation in inflammatory processes through complement activation, interaction with leukocytes and monocytes, participation in host defense against infection, and regulation of vascular tone. There is also abundant evidence that suggests that the processes regulating hemostasis evolved as a component of the inflammatory response to infection. Many of these interaction points occur on the surface of endothelial cells, linking these two cell types, endotheliocytes and platelets, in initiating and regulating blood clotting and inflammation. Various mechanisms may contribute to direct and indirect platelet activation in sepsis, including pathogen-induced platelet activation, pathogen- and inflammation-induced endothelial and leukocyte activation, and complement-mediated platelet activation.
Clinical guidelines for the management of patients with paroxysmal nocturnal hemoglobinuria
Authors: Savchenko V. G. , Lukina E. A. , Mikhaylova E. A. , Tsvetaeva N. V. , Latyshev V. D. , Lukina K. A. , Fidarova Z. T. , Galtseva I. V. , Dvirnik V. N. , Ptushkin V. V. , Afanasyev B. V. , Kulagin A. D. , Shilova E. R. , Maschan A. A. , Smetanina N. S. , Lugovskaya S. A.
Published: October 2022

Introduction. Paroxysmal nocturnal hemoglobinuria (PNH) is a rare acquired clonal disease of the blood system characterized by intravascular hemolysis, bone marrow dysfunction and an increased risk of thrombotic and organ complications.

Aim — to provide relevant clinical recommendations for the provision of medical care to adults and children with PNH.

Basic information. Experts from the National Hematological Society association which is focused on the promotion of hematology, transfusiology and bone marrow transplantation along with experts from the public organization, National Society of Pediatric Hematologists and Oncologists, have developed current clinical recommendations for providing medical care to adults and children with PNH. The recommendations address in detail the issues of etiology, pathogenesis, epidemiology, and clinical manifestations of the disease. Special attention is paid to the diagnosis, differential diagnosis, and treatment of PNH based on the principles of evidence.
Conducting Virtual Youth-Led Participatory Action Research (YPAR) During the COVID-19 Pandemic
Authors: Rivera Allyson , Okubo Yuki , Harden Romona , Wang Hannahlise , Schlehofer Michele
Published: October 2022

Youth-led participatory action research (YPAR) is an applied research methodology in which youth work in collaboration with adult stakeholders to conduct research projects. YPAR has been traditionally conducted in person, with virtual forums typically serving as ways to share resources and ideas across independent YPAR teams or collecting data. The COVID-19 pandemic, which led to the closure of most public spaces where youth congregate (including schools) and requirements to socially distance, led to translating YPAR projects into completely virtual formats. This paper aims to provide promises and challenges of conducting virtual YPAR during the COVID-19 pandemic. It describes how a team of university faculty, college students, and youth from two community-based youth organizations navigated a YPAR experience during the 2020-2021 academic year. We provide reflections on the impact of the COVID-19 pandemic on (a) the research setting, (b) the building of collaborative relationships, (c) YPAR methodology, (d) youth engagement, and (e) conceptualization of community action and engagement. We end with the implications for the future of YPAR for practitioners.
Practical Considerations for Engaging Youth With Lived And/or Living Experience of Substance Use as Youth Advisors and Co-Researchers
Authors: Turuba Roxanne , Irving Sarah , Turnbull Haley , Amarasekera Anurada , Howard Amanda Madeleine , Brockmann Violet , Tallon Corinne , Mathias Steve , Henderson Joanna , Barbic Skye
Published: October 2022

Background

Although youth participatory action research (YPAR) has been gaining popularity in the context of substance use research over the last decade, few studies report on how to apply these methods effectively with youth. To address this gap, this paper describes how we engaged youth as advisors and research assistants in a qualitative research study, as well as our key learnings and practical considerations for engaging youth with lived and/or living experience of substance use.

Methods

We applied YPAR methods by partnering with youth from across BC who have lived and/or living experience of substance use to form a project youth advisory that co-designed the research protocol and materials. Three members became youth research assistants to facilitate focus groups and qualitative interviews with other youth with lived/living experience and peer support workers who work with youth, and support with data analysis and the dissemination of research findings. Mid- and end-point surveys were distributed to evaluate and improve our youth engagement methods over the course of the study.

Results

The positive impact of engaging youth with lived/living experience over the course of the study was reflected by study participant responses to the quality and relevance of the focus group/interview questions and positive experiences with the youth facilitators. Youth partners also described developing new skills in research, group facilitation, leadership, communication, and professionalism. Lessons learned and considerations for engaging youth in substance use research included: an equitable hiring process; proper compensation; communication, transparency, and accountability; safe spaces; flexibility; and youth capacity building.

Conclusion

This study demonstrates varying ways of engaging youth with lived and/or living experience of substance in research and how youth contributions can improve the relevance, quality, and validity of the research. Lessons learned from this study can be applied by other researchers considering engaging youth with lived/living experience or other marginalized populations.
Making the Implicit Explicit: An Illustration of YPAR Implementation and Lessons Learned in Partnership With Young Adults Who Have Experienced Family Member Incarceration
Authors: Abraczinskas Michelle , Adams Britni L. , Vines Erin , Cobb Shaneah , Latson Zion , Wimbish Mykala
Published: October 2022

Youth Participatory Action Research (YPAR) involves a youth-adult partnered or youth-led process of inquiry, critical reflection, and action to reduce inequities in areas important to youth with lived experience. YPAR has been linked to multi-level benefits, such as increased school connectedness, enhanced relationships between youth and adults, and policy changes. Most YPAR projects are conducted as electives in schools or afterschool programs, meaning that youth opt in and are likely already interested in social change. Less is known about the YPAR implementation process in more informal community settings with young adults who are not being served by traditional systems (e.g., public schools) and YPAR with specific populations, such as youth who have experienced family member incarceration. To fill this gap, we provided a step-by-step implementation guide of our curriculum, stages of research, and adaptations to YPAR with young adults who experienced family member incarceration, graduated from an alternative school, and worked in the community. We also provided lessons learned from both facilitator and young adult researcher perspectives to aid youth workers, facilitators, and others engaged in community practice with youth in the implementation of YPAR with this unique population and setting.
A binary/digital approach to amino acid identification and peptide sequencing and its extension to post-translational modification (PTM) detection
Authors: Sampath G
Published: October 2022

A procedure to identify single amino acids (AAs) in the bulk or with a few molecules from a single binary measurement is introduced. Combined with Edman degradation (or other method) it can be used to sequence a peptide or identify the parent protein from a partial sequence. This binary/digital approach is centered on the superspecificity property of transfer RNAs (tRNAs), it differs markedly from conventional and recent single molecule (SM) sequencing methods based on analog measurements. Each of 20 (or more) terminal residues cleaved from 20 (or more) copies of a peptide enters a different cavity with a unique tRNA; tRNA charging (or binding with AA) occurs only in the cavity with the cognate AA. The bound AA or the AA separated from the tRNA is detected with a single binary measurement; its identity is known from the position of the single high bit in the resulting 20-bit output. Alternatively a 20-stage pipeline can be used with sparse samples. Detection of the bound AA can be done optically by tagging the AAs with a fluorescent dye, of the freed AA electrically with a nanopore. Necessary conditions for accurate AA identification are satisfied in principle; related computations and simulation results are presented. A modified version that can be used for de novo sequencing in parallel of large numbers of peptides immobilized on a glass slide with the tRNAs carrying a fluorescent tag is mooted. Both methods can be used for protein identification from partial sequences containing 2 or 3 AA types by using only the corresponding tRNAs. Potential implementation issues are discussed. With a straightforward extension post-translational modifications (PTMs) in single AAs can be detected. Such detection is horizontal: it is only necessary to search among the PTMs for a given AA, PTMs of the other 19 AAs are not involved.
Design of a Random Number Generator for Stochastic Computing(SC)
Authors: Junsangsri Pilin , Lombardi Fabrizio
Published: October 2022

 In most stochastic computing designs, the Stochastic Number Generator (SNG) circuit is of primary importance, but it may require considerable area due to its complexity. This paper proposes a new design for random number generators (RNGs) to be used in SNGs. The proposed RNG design exploits the randomness between each bit of data to generate larger sets of random numbers by concatenating the modules of the proposed customized linear feedback shift registers (LFSRs). To efficiently generate random data, a plane of RNGs (consisting of multiple modules) is proposed; a so-called sliding window approach is utilized for reading data in both directions; (horizontal and vertical). Therefore, sets of random numbers are generated by doubling these datasets and inverting the duplicated datasets. Flip-Flops (FFs) are then used to isolate the datasets and reduce the correlation among them. Compared to existing designs found in the technical literature, the proposed RNG design offers many advantages such as small area per RNG, low power operation, large number of datasets, flexibility and higher accuracy. When compared to the LFSR plane, the proposed RNG design improve power dissipation by 47.03%, area per RNG by 48.71% and the number of datasets by 1466%, the size of each random by 183,000% and the autocorrelation by 98.19%. The proposed design has been used in a stochastic multiplier and adder; for these circuits, the mean square error is reduced by 40.62% for the multiplier circuit, and 26.79% for the adder circuit.  
ON THE INVASIVENESS OF THE ELECTRO-OPTICAL RESEARCH METHODS IN STRONG INHOMOGENEOUS ELECTRIC AND LIGHT FIELDS
Authors: Yassinskiy Vladimir , Kuznetsova Yulia
Published: October 2022

In the manuscript, as a result of comparing experimental and calculated kerrograms, it is shown that during electro-optical measurements in nitrobenzene using the Kerr effect, a strong electric field and absorption of radiation from a probing laser affect the properties of the medium under study. An estimate of such influence on the value of the Kerr constant is made. It is found that in the tip-plane system when using a ruby laser, the Kerr constant near the tip changes. The established dependence of the Kerr constant on the distance to the tip made it possible to obtain a calculated kerrogram that coincides with the experimental one. Thus, it is shown that the measuring instruments can influence the results obtained, that is, under certain conditions, the electro-optical research method is invasive. This fact should be taken into account when processing experimental kerrograms.
Internet of Everything: Enabling Technologies, Applications, Security and Challenges
Authors: Khan Wazir Zada , Rafique Wajid , Haider Noman , Hakak Saqib , Imran Muhammad
Published: October 2022

Internet of Everything (IoE) connects billions of people, devices, objects and things to the Internet for autonomous services provisioning. IoE benefits from the value created by the compound impacts of connecting people, processes, things, and data. The interoperability among heterogeneous components facilitates seamless communication exchange for service provisioning in almost all the fields of life. Apart from providing immense benefits in autonomous services provisioning, it suffers from implementation issues, architectural considerations, and security and privacy vulnerabilities. There is a lack of surveys that comprehensively discuss all the aspects of IoE. Therefore, we design this survey to discuss key effective implementation of IoE. We discuss enabling technologies, architectural components, and expectations for an efficient realization of IoE. We discuss state-of-the-art use cases, synergies, and implementations of IoE that could be used as a road-map for and effective implementation of IoE-enabled systems. We highlight key security, privacy, and trust issues. We identify lethal attack scenarios and highlight countermeasures against these attacks. Finally, we discuss current challenges, their solutions, and future research directions. This survey provides key insights for implementing future IoE systems.
Impact of Channel Models on Performance Characterization of RIS-Assisted Wireless Systems
Authors: Jamali Vahid , Ghanem Walid. R. , Schober Robert , Poor H. Vincent
Published: October 2022

The performance characterization of communication systems assisted by large reconfigurable intelligent surfaces (RISs) significantly depends on the adopted models for the underlying channels. Under unrealistic channel models,  the system performance may be over- or under-estimated which yields inaccurate conclusions for the system design. In this paper, we review five channel models that are chosen to progressively improve the modeling accuracy for large RISs. For each channel model, we highlight the underlying assumptions, its advantages, and its limitations. We  compare the system performance under the aforementioned channel models using  RIS configuration algorithms from the literature and a new scalable algorithm proposed in this paper specifically for the configuration of extremely large RISs.
Heterogeneous Graph Neural Network with Time Sequence Information Integration
Authors: Goyal North , Choi Sagar , Rey Justin , Hill Joseph
Published: October 2022

Recommendation systems, as a kind of information filtering system, can understand users' interests based on their personal data or historical behavior records, and are widely used in Web applications such as e-commerce, search, and streaming websites. Based on the fact that users with similar preferences may be interested in similar items, most existing recommendation methods mine this synergistic information through user-item interactions, called collaborative filtering. Recent interaction information can better reflect users' dynamic interests over time. Another group of work is called temporal-based recommendation, which takes into account temporal information to model the user's dynamic interests. A temporal recommendation system is based on the user's temporal interaction data as a context to predict which item the user is most likely to interact with next time. Markov chain-based recommendation models are a typical example of temporal sequential recommendation, which assume that the next interaction is only related to the previous one. Recently, much work has used recurrent neural networks to model previous behaviors and use hidden states to predict the next behavior. However, almost all temporal recommendation methods model user embeddings based only on their own temporal interaction history, ignoring the heterogeneous information widely available in recommender systems, such as product attributes, and encounter cold-start problems when data are sparse and users have fewer interactions. In this paper we proposed a model, the heterogeneous dynamic graph neural network. This network uses a static graph encoder to process the node representation of each heterogeneous graph at different time steps, which includes the node attribute information and edge information, to capture the changing node information in all time steps of the dynamic graph and obtain a valid node representation at each time step. The long and short-term memory model is then used to aggregate the temporal information between different time steps and to mine the connections and interdependencies of different types of nodes between different time steps. The goal of the heterogeneous dynamic graph neural network is to capture the changing node representations of the same nodes as well as different nodes at different time steps in the graph network, expecting to better perform the task of node classification in dynamic graphs. In this paper, we validate the model of heterogeneous dynamic graph neural networks from data, experimenting with node classification tasks on real graph structured data including social networks, e-commerce networks and business review networks, and show that heterogeneous dynamic graph neural networks outperform the latest representation learning methods for static and dynamic graphs.
Machine Learning Based Thermal Evaluation for Vertically-Composed Fine-Grained 3D CMOS
Authors: Li Mingyu , Kulkarni Sourabh , Bhat Sachin , Moritz Csaba Andras
Published: October 2022

Thermal management in 3D integrated circuits is a critical challenge due to their high computational density. Heat dissipation paths from top circuit layers through bottom layers to substrate are heavily constraining heat extraction. Various thermal management frameworks have been proposed to address thermal issues in different granularities. All these frameworks require a thermal evaluation stage that characterizes the thermal profile of large designs with fast runtime. In this work, we present a machine learning based thermal evaluation method that predicts all standard cell temperatures based on features extracted from circuit CAD files. We have built thermal resistance networks for 10 benchmark circuits. We performed simulations to achieve the thermal data, and trained the thermal model with the data. The model is highly accurate and can identify all over-heated cells that need to be thermally-optimized. Runtime overhead is minimal. For a 435k-cell SPARC T2 core, the runtime for predicting all cell temperatures is as small as 3.12s, which is negligible compared to the runtime of other physical design stages. 
Blockchain MEV minimisation solution with price guarantee reward
Authors: Pillai Babu
Published: October 2022

Blockchain systems rely on miners to produce blocks, who solely build blocks for their financial benefit. Within the competitive market system, only correct blocks get accepted, which ensures security of the network. As financial applications migrate into the blockchain, miners in this privileged position have identified ways to extract additional revenues (known as MEV) that affect users and  the overall security of the system. A possible direction for current research to resolve this exploitation is to separate the sequencing (building) and execution (mining/proposing) of transactions (PBS model). However, a weaker point of this model is the trust assumption between participants and the incentive model. This paper proposes a concept of separate incentive schemes for the work various participants conduct in their own interests.
Accurate Object Detection & Instance Segmentation of Remote Sensing, Imagery Using Cascade Mask R-CNN With HRNet Backbone
Authors: Kumar Durga
Published: October 2022

Experiments are conducted on a series of remote sensing images (NWPU VHR-10). Detection & instance segmentation results demonstrate that our method provides better performance (significant improvement in accuracy) in terms of average precision (AP). The larger the value of AP is, the more accurate the prediction results and the better detection performance of the objects. Cascade Mask R-CNN framework with HRNet backbone for geospatial objects detection and instance segmentation from high-resolution remote sensing imagery.
A comprehensive framework for the Thévenin-Norton theorem using homogeneous circuit models
Authors: Riaza Ricardo
Published: October 2022

The homogeneous description of a linear, uncoupled circuit is based on the assignment to each device of a triad $(p: q: s)$, where the parameters are defined up to a nonzero multiplicative constant and characterize a voltage-current relation of the form $pv-qi=s$. Given a one-port, the open-circuit and short-circuit network determinants, to be denoted as $p_e$ and $q_e$, are polynomial functions of the $p$- and $q$-parameters of the individual devices. With this formalism, we may state the Thévenin-Norton theorem in a uniform manner by saying that, for any given set of parameter values, if at least one of the functions $p_e$ and $q_e$ does not vanish then the voltage-current behavior at the port is characterized by a homogeneous triad $(p_e: q_e: s_e)$. In particular, the assumptions $p_e \neq 0$ and $q_e \neq 0$, respectively, characterize the existence of the Thévenin and the Norton equivalents, but the formulation proposed above avoids the need to make an a priori distinction between one form and another. We also show that the excitation parameter $s_e$ can be computed by inserting any admissible load at the port, but also analytically, in terms of the topology of the underlying digraph. The results hold without the need to specify whether each circuit element is a source or a passive device, much less to assume whether they are voltage- or current-controlled.
Heart pulse demodulation from Emfit mattress sensor using spectral and source separation techniques
Authors: Perez-Macias Jose Maria , tenhunen mirja , Himanen Sari-Leena , Viik Jari
Published: October 2022

Introduction: Unobtrusive bed mattress sensors such us the electromechanical film transducer (Emfit) record the heart's activity, breathing, and body movements with clinical applications ranging from epilepsy to sleep disorders. The mechanical activity of the heart recorded using these sensors is known as ballistocardiogram (BCG). However, BCG shape changes on position, patient, and mattress. Aim: In this study, we isolate a position- independent heart signal designed to retrieve the heart activity recorded using an Emfit mattress sensor using extended polysomnography (PSG) recordings as a reference. Methods: We used spectral and source separation techniques to infer the heart's Emfit Pulse (EP). We validated the resulting signal using representative 10- minute normal breathing epochs extracted from the PSG from 33 subjects and by estimating the heart rate (HR) from the EP and compared it against the electrocardiogram (ECG) using non-overlapping one- minute windows. Results: Results show a signal similar in shape to a photoplethysmogram (PPG) with different timings in relation to the ECG's R-peak. We found good agreement between HR with a mean absolute error (MAE) of 2.4 beats per minute (bpm) with standard deviation of 4.6bpm. Conclusions: A position independent heart pulse signal from the Emfit mattress sensor was obtained in a range of subjects and validated by means of HR analysis.
Reduced Precision Redundancy Systems by Approximation (RPA)
Authors: Junsangsri Salin , Lombardi Fabrizio
Published: October 2022

This paper proposes new designs for Reduced Precision Redundancy (RPR) systems using Approximation (RPAs). Reduced redundancy is accomplished by utilizing approximate modules, hence requiring substantially different designs for the decision hardware for generating an output. Some of proposed schemes deal with a single erroneous data word generated by a module (in the presence of single and multiple bit errors) using three modules as inputs to the decision hardware of the RPA (denoted as 2E1A and 1E2A where E (A) stands for exact (approximate)). The remaining RPA schemes operate under single and multiple bit errors in at most two modules out of four input modules (denoted as 2E2A). Different from RPRs found in the technical literature, the proposed RPAs operate using only logic operations (so no arithmetic unit is involved as decision hardware). The probability of providing an exact data word at the output of the RPA under the above error conditions is analytically found; simulation results are also provided. It is shown that the difference between simulated and analytical probabilities is at most 5%. Circuit based metrics (such as delay, power dissipation, and area) of the proposed designs are simulated and compared with RPR; the proposed designs outperform RPR in all metrics, except the area of the four-input RPA (2E2A) due to the larger number of modules. The application of the proposed RPAs to image processing is also presented; the results show that the proposed schemes are very efficient for such application. 
Organic amendments role in reducing drought stress in Alcea Rosea L.
Authors: Oraee Atiyeh , Shoor Mahmoud , Oraee Toktam , Tehranifar Ali , Nemati Hossein
Published: October 2022

Water scarcity and dwindling natural resources due to global warming are negatively impacting ornamental plant survival. Soil fertility remains a problem in arid and semiarid regions. In this study, the effects of four media (arable soil, arable soil + cow manure, arable soil + rice hull, arable soil + wheat straw) on macronutrient content and quantitative characteristics of Alcea rosea L. under drought stress were investigated. Application of organic amendments mitigated the negative effects of drought in the soil and increased the available organic macronutrients. The application of organic amendments increased the total N, P, and K content in the soil and leaves of hollyhock. Total soluble sugars (by 11.9%), RWC (by 8.75%) and phenolics (by 36.4%) of hollyhock were significantly improved by the application of organic amendments at 80% FC. The amended soil (soil + cow manure) increased the activities of superoxide dismutase and ascorbate peroxidase at 80% FC. Moreover, the soil + cow manure proved to be the best supplement to improve leaf area and dry weight. In conclusion, the application of organic amendments can be successfully used as a cost-effective management method to improve soil fertility and crop production in arid and semi-arid areas.
Maintaining postharvest quality of bell pepper (Capsicum annuum L. cv. California Wonder) using cactus (Opuntia stricta L.) mucilage coating
Authors: Aloo Maurine , Opiyo Arnold Mathew , Saidi Mwanarusi
Published: October 2022

Bell pepper (Capsicum annuum L.) experiences significant qualitative and quantitative loss during postharvest. This study aimed at providing an alternative postharvest handling technology for bell pepper. The factor studied was cactus (Opuntia stricta L.) mucilage coating at four levels: 0% (distilled water), 1, 2, and 3%. The fruits were stored under ambient conditions (25 ± 2°C temperature and 65 ± 2% relative humidity) until senescence. Weight loss and total soluble solids content were determined at an interval of 3 days whereas iron and ascorbic acid content were determined at an interval of 4 days. Shelf life elapsed when fruit lost 25% of their initial weight on average. Cactus mucilage coating reduced weight loss by up to 21.64%, maintained total soluble solids by up to 14.93%, iron by up to 6.46%, ascorbic acid by up to 19.46% and extended shelf life by up to 6 days. Cactus mucilage coating at 1% was the best treatment and therefore can be used by bell pepper growers, retailers, and consumers to maintain postharvest quality and extend shelf life of bell pepper.
The Golden Age of History Painting of the People's Republic of China (1949–1966): Origins, Searches, Achievements
Authors: Gavrilin Kirill N. , Lu Xiaonan
Published: October 2022

Since the founding of the People's Republic of China, paintings of the history genre were considered mainly as a tool for implementing state tasks.
The golden age of Chinese history painting was between 1949 and 1966. During this period, the political demands of the authorities, whose primary focus was on the themes of the revolutionary struggle, the most important historical events and characters, contributed to the active development of history painting, which became one of the foundations of the fine arts of China.
The characteristic features of the golden age of Chinese history painting were, on the one hand, the popularisation of painting as an art form and, on the other hand, the predominance of dominating positions of realism over the traditional styles of Chinese painting. It is noted that during this period, two main plots became widespread: scenes of socialist construction and historical events of the revolution.
Since 1950, Chinese fine art had been under the powerful influence of Soviet art. The PRC borrowed the system of higher art education from the Soviet Union. Numerous Soviet publications on the history and theory of art, textbooks, and critical articles were translated into Chinese. Owing to large-scale exhibitions of Soviet art, Chinese masters began to study the works of Soviet socialist realism, which created the basis for the "creation of socialist art". Due to cultural exchange with the Soviet Union, the oil painting technique became widespread in China as well as a new creative method - realism, recognised as the main direction of Chinese painting.
Considerable merit in the formation of new principles of Chinese painting belongs to the work of Soviet professors who taught Chinese artists in oil painting at the Central Institute of Fine Arts in Beijing. Among them, we especially note K.Maksimov, a famous Soviet artist and professor at the Moscow Surikov State Art Institute. In addition, in the USSR in 1952, the first group of Chinese students was sent to study at the Repin Institute of Painting, Sculpture and Architecture by order of the Chinese government. It should be noted that later, in their homeland, they headed the leading art universities in China.
Thus, outstanding works of Chinese history painting on social and revolutionary themes appeared, which immediately began to be regarded as innovative, taking a dominant place in exhibitions and permanent expositions of new museums that were actively created during this period in the PRC.
The spread of the theory of Soviet socialist realism accelerated the development of oil painting in the PRC. It contributed to the fact that realism became the main direction of painting in the second half of the 20th century.
Green WPC: Energy Harvesting in Smart Cities
Authors: Pradhan Devasis , Tun Hla Myo , Naing Zaw Min , OO Thandar
Published: October 2022

Abstract: Ongoing advances in Wireless Power Transmission (WPT) innovation give an alluring arrangement, in particular Wireless Powered Communication (WPC), in which remote gadgets are charged through remote power transmitters. In any case, the plan and prospect of WPC applications are tested by the unfortunate proficiency of significant distance WPT. This article give a review of WPT innovation as well as sun based energy gathering and explores their difficulties in IoT networks. Thus, the world is seeing a restored consciousness of the significance of IoT gadgets, as basic parts of smart cities, particularly for the pith of endurance notwithstanding lockdown. Energy gathering is a potential arrangement that could empower IoT hubs to search self-supporting energy from ecological surrounding sources.
Peran Penting Komunikasi Pada Era Globalisasi
Authors: Sukarni Sukarni
Published: October 2022

Komunikasi pada era globalisasi sekarang ini mengalami kemajuan yang sangat pesat, baik komunikasi  satu arah maupun dua arah, langsung maupun tidak langsung. Hal tersebut sesuai dengan kebutuhan informasi yang semakin berkembang pula. Kebutuhan terhadap informasi merupakan kebutuhan semua orang termasuk para siswa. Penelitian ini merupakan Penelitiaan Tindakan Kelas (PTK) yang dilakukan oleh guru di dalam kelasnya. Proses pembelajaran dengan menggunakan model pembelajaran kooperatif tipe Jigsaw untuk meningkatkan kompetensi menelaah ejaan surat dinas pada siswa kelas VII B SMP Negeri 1 Cilacap  tahun pelajaran 2016/2017 dilakukan dengan membagi siswa dalam kelompok ahli dan kelompok asal. Kelompok ahli membahas penggunaan ejaan sedangkan kelompok asal menelaah ejaan surat dinas. Hasil diskusi dalam kelompok ahli disampaikan dalam kelompok asal, sebagai dasar mengerjakan tugas menelaah ejaan, baik tugas kelompok maupun mandiri.
Treatment Patterns of Follicular Lymphoma in the United States: A Claims Analysis
Authors: Huntington Scott F. , Appukkuttan Sreevalsa , Wang Wenyi , Du Yuxian , Hopson Sari , Babajanyan Svetlana
Published: October 2022

Background: A consensus is lacking on optimal treatment sequencing for follicular lymphoma (FL), the most common indolent lymphoma. FL is incurable, and many patients require multiple lines of therapy for successive relapses. Guidelines provide numerous recommendations for first-, second-, and third-line therapy; however, treatment patterns in the real world remain poorly understood.

Objectives: The primary objective of this study is to evaluate real-world treatment patterns among commercially insured patients with FL in the United States.

Methods: A retrospective cohort of patients with newly diagnosed FL was identified from June 2008 to September 2016 using the IBM MarketScan® database. Treatment pattern measures, including time to treatment from diagnosis, days from previous line of therapy, duration of therapy, and distribution of treatment regimens among lines of therapy, were assessed. Descriptive statistics were reported for baseline characteristics, primary outcome, and treatment pattern measures.

Results: In total, 4232 patients were identified from the database and 2111 patients received at least 1 line of treatment. The most common first-line treatments included bendamustine + rituximab (39%), rituximab + cyclophosphamide + doxorubicin + vincristine (20%), and rituximab monotherapy (19%). Rituximab monotherapy was the most common second-line (34%) and third or greater line (57%) treatment. The median time from FL diagnosis to initiation of treatment was 50 days (interquartile range [IQR]: 28-191) for first-line treatment, 577 days (IQR: 312-1146) for second-line, and 776 days (IQR: 603-1290) for third-line.

Discussion: At a median follow-up of 3.6 years, most patients had 1 or fewer lines of therapy. The use of combination therapy decreased with each line of therapy and the numbers of patients receiving third- or fourth-line therapy were small in this study, potentially due to the short follow-up. Rituximab as monotherapy or in combination was utilized most frequently; however, the variety of other therapies used demonstrates that the standard management of FL remains unclear.

Conclusions: Consensus on optimal treatment sequencing is currently lacking, and patients receive a variety of active regimens during routine practice. In this contemporary cohort of patients diagnosed with FL in the United States, rituximab therapy predominated both in monotherapy and in combination.
Crimes of defamation, insult, fraud and extortion through electronic means
An analytical study of the laws of Islamic Sharia and the laws of the Emirates
Authors: Alameeri Ahmed Esmail , Hussin Dr. Syaryanti
Published: October 2022

The study dealt with a scientific and academic proposal on the issue of crimes committed through electronic media, and the legal treatments for these types of crimes. It aimed to clarify the forms and images of the crimes of insult, slander, fraud, and fraud through the electronic medium in Islamic law by presenting the jurisprudential opinions and clarifying the legal effects resulting from those crimes committed through the electronic medium, and clarifying the legal treatment for them in the UAE law, as well as the explanation and analysis of the concept of the crime of electronic extortion The motives behind the commission of that crime, and the legal consequences resulting from that crime. And he followed the descriptive, analytical and comparative approach, to describe the phenomenon and analyze it from all its dimensions and aspects, and it concluded several results, the most important of which is a statement of the distinction between the general criminal policy contained in the Penal Code and what these crimes need from a different criminal policy, whether criminalization or punishment, the UAE legislator also drew attention to this The difference in the criminal model of these crimes, their means, and perpetrators, and in general, they are subjective from their traditional counterparts, even if they are similar in purpose and purpose.
Keywords: crimes - the medium – electronic
Incidence of Proteinuria in Cats with Chronic Kidney Disease
Authors:   Moscow State Academy of Veterinary Medicine and Biotechnology – MVA by K. I. Skryabin”, Moscow, Russia, Bychkova Victoria A. , Goncharova Anna V. ,   Moscow State Academy of Veterinary Medicine and Biotechnology – MVA by K. I. Skryabin”, Moscow, Russia, Kostalev Vladislav A. ,   Moscow State Academy of Veterinary Medicine and Biotechnology – MVA by K. I. Skryabin”, Moscow, Russia
Published: October 2022

Proteinuria is the excretion of any type of protein in the urine in values exceeding the physiological norm (up to 0,010 g/l). Proteinuria is a marker and factor of kidney disease, leading to a decrease in life expectancy and quality of life in this group of patients. For the detection of abnormal urinary protein excretion, the gold standard of diagnosis is the determination of the urinary protein/creatinine ratio by a quantitative test. Semi-quantitative studies on test strips are of screening value, they are more sensitive to albumin due to the large number of free amino groups than globulins, this research method shows results at a protein concentration of more than 0,30 g/l. The etiology of proteinuria is multifactorial and the causes can be prerenal, renal and postrenal, and it is also worth considering the possibility of detecting functional proteinuria - increased physical activity, hyperthermia (fever), convulsions. Of particular clinical importance is true renal proteinuria, which may occur as a result of damage to the tubular apparatus, glomeruli and / or interstitium. Several studies have found that cats with chronic kidney disease and confirmed proteinuria have a shorter survival rate than cats with chronic kidney disease without proteinuria. Thus, detection and control of proteinuria is an important aspect in the diagnosis and management of cats with chronic kidney disease.