bluuebunny/crossref_metadata_2025 huggingface dataset:
CFD Analysis of a Latent Thermal Storage System (PCM) for Integration with an Air‐Water Heat Pump
Authors: Di Prima Piera , Santovito Michele , Papurello Davide
Published: March 2024

Heat pumps driven by sustainable electricity sources have been identified as a technology that can contribute to reduce carbon dioxide emissions. Furthermore, a heat pump can also provide energy savings when combined with a thermal energy storage system. Heat pumps can optimize their efficiency by accumulating thermal energy during periods of lower electricity demand, resulting in shorter operational durations and decreased overall energy consumption. In this work, the combination of a latent heat storage system with an air‐water heat pump has been numerically analysed and experimentally tested. A phase change material (PCM) heat exchanger with an immersed plate was designed using a 3D CFD model (COMSOL Multiphysics®). The heat exchanger configuration with six steel plates immersed in the phase change material tank was proposed to enhance heat transfer in the storage system. The developed model is validated against experimental data from a real case study, demonstrating a maximum error of approximately 3% during the discharging phase. Additionally, the study explores the effects of different inlet heat transfer fluid temperatures and flow rates on the PCM solidification time.
Supplementary Table 2 from Tumor Microenvironment Landscapes Supporting EGFR-mutant NSCLC Are Modulated at the Single-cell Interaction Level by Unesbulin Treatment
Authors: Maroni Giorgia , Krishnan Indira , Alfieri Roberta , Maymi Valerie A. , Pandell Nicole , Csizmadia Eva , Zhang Junyan , Weetall Marla , Branstrom Art , Braccini Giulia , Cabrera San Millán Eva , Storti Barbara , Bizzarri Ranieri , Kocher Olivier , Daniela Sanchez Bassères Daniela S. , Welner Robert S. , Magli Maria Cristina , Merelli Ivan , Clohessy John G. , Ali Azhar , Tenen Daniel G. , Levantini Elena
Published: March 2024

Supplementary Table 2. Size of each identified transcriptional cluster as percentage of all profiled cells.
Supplementary Table 14 from Tumor Microenvironment Landscapes Supporting EGFR-mutant NSCLC Are Modulated at the Single-cell Interaction Level by Unesbulin Treatment
Authors: Maroni Giorgia , Krishnan Indira , Alfieri Roberta , Maymi Valerie A. , Pandell Nicole , Csizmadia Eva , Zhang Junyan , Weetall Marla , Branstrom Art , Braccini Giulia , Cabrera San Millán Eva , Storti Barbara , Bizzarri Ranieri , Kocher Olivier , Daniela Sanchez Bassères Daniela S. , Welner Robert S. , Magli Maria Cristina , Merelli Ivan , Clohessy John G. , Ali Azhar , Tenen Daniel G. , Levantini Elena
Published: March 2024

Supplementary Table 14. Size of each identified transcriptional cluster as percentage of all profiled fibroblasts.
Supplementary Table 13 from Tumor Microenvironment Landscapes Supporting EGFR-mutant NSCLC Are Modulated at the Single-cell Interaction Level by Unesbulin Treatment
Authors: Maroni Giorgia , Krishnan Indira , Alfieri Roberta , Maymi Valerie A. , Pandell Nicole , Csizmadia Eva , Zhang Junyan , Weetall Marla , Branstrom Art , Braccini Giulia , Cabrera San Millán Eva , Storti Barbara , Bizzarri Ranieri , Kocher Olivier , Daniela Sanchez Bassères Daniela S. , Welner Robert S. , Magli Maria Cristina , Merelli Ivan , Clohessy John G. , Ali Azhar , Tenen Daniel G. , Levantini Elena
Published: March 2024

Supplementary Table 13. Size of each identified transcriptional cluster as a percentage of all profiled endothelial cells.
Supplementary Table 10 from Tumor Microenvironment Landscapes Supporting EGFR-mutant NSCLC Are Modulated at the Single-cell Interaction Level by Unesbulin Treatment
Authors: Maroni Giorgia , Krishnan Indira , Alfieri Roberta , Maymi Valerie A. , Pandell Nicole , Csizmadia Eva , Zhang Junyan , Weetall Marla , Branstrom Art , Braccini Giulia , Cabrera San Millán Eva , Storti Barbara , Bizzarri Ranieri , Kocher Olivier , Daniela Sanchez Bassères Daniela S. , Welner Robert S. , Magli Maria Cristina , Merelli Ivan , Clohessy John G. , Ali Azhar , Tenen Daniel G. , Levantini Elena
Published: March 2024

Supplementary Table 10. Size of each identified transcriptional cluster as percentage of all profiled cells.
Supplementary Figure S4 from Tumor Microenvironment Landscapes Supporting EGFR-mutant NSCLC Are Modulated at the Single-cell Interaction Level by Unesbulin Treatment
Authors: Maroni Giorgia , Krishnan Indira , Alfieri Roberta , Maymi Valerie A. , Pandell Nicole , Csizmadia Eva , Zhang Junyan , Weetall Marla , Branstrom Art , Braccini Giulia , Cabrera San Millán Eva , Storti Barbara , Bizzarri Ranieri , Kocher Olivier , Daniela Sanchez Bassères Daniela S. , Welner Robert S. , Magli Maria Cristina , Merelli Ivan , Clohessy John G. , Ali Azhar , Tenen Daniel G. , Levantini Elena
Published: March 2024

Supplementary Figure S4. Deconvolution of healthy and diseased macrophage clusters demonstrates presence of interstitial and alveolar subpopulations
Supplementary Figure S3 from Tumor Microenvironment Landscapes Supporting EGFR-mutant NSCLC Are Modulated at the Single-cell Interaction Level by Unesbulin Treatment
Authors: Maroni Giorgia , Krishnan Indira , Alfieri Roberta , Maymi Valerie A. , Pandell Nicole , Csizmadia Eva , Zhang Junyan , Weetall Marla , Branstrom Art , Braccini Giulia , Cabrera San Millán Eva , Storti Barbara , Bizzarri Ranieri , Kocher Olivier , Daniela Sanchez Bassères Daniela S. , Welner Robert S. , Magli Maria Cristina , Merelli Ivan , Clohessy John G. , Ali Azhar , Tenen Daniel G. , Levantini Elena
Published: March 2024

Supplementary Figure S3. Deconvolution of healthy and diseased epithelial clusters highlights the malignant nature of C0epi and C4epi
Data from Tumor Microenvironment Landscapes Supporting EGFR-mutant NSCLC Are Modulated at the Single-cell Interaction Level by Unesbulin Treatment
Authors: Maroni Giorgia , Krishnan Indira , Alfieri Roberta , Maymi Valerie A. , Pandell Nicole , Csizmadia Eva , Zhang Junyan , Weetall Marla , Branstrom Art , Braccini Giulia , Cabrera San Millán Eva , Storti Barbara , Bizzarri Ranieri , Kocher Olivier , Daniela Sanchez Bassères Daniela S. , Welner Robert S. , Magli Maria Cristina , Merelli Ivan , Clohessy John G. , Ali Azhar , Tenen Daniel G. , Levantini Elena
Published: March 2024

Abstract
Lung cancer is the leading cause of cancer deaths. Lethal pulmonary adenocarcinomas (ADC) present with frequent mutations in the EGFR. Genetically engineered murine models of lung cancer expedited comprehension of the molecular mechanisms driving tumorigenesis and drug response. Here, we systematically analyzed the evolution of tumor heterogeneity in the context of dynamic interactions occurring with the intermingled tumor microenvironment (TME) by high-resolution transcriptomics. Our effort identified vulnerable tumor-specific epithelial cells, as well as their cross-talk with niche components (endothelial cells, fibroblasts, and tumor-infiltrating immune cells), whose symbiotic interface shapes tumor aggressiveness and is almost completely abolished by treatment with Unesbulin, a tubulin binding agent that reduces B cell–specific Moloney murine leukemia virus integration site 1 (BMI-1) activity. Simultaneous magnetic resonance imaging (MRI) analysis demonstrated decreased tumor growth, setting the stage for future investigations into the potential of novel therapeutic strategies for EGFR-mutant ADCs.
Significance:
Targeting the TME is an attractive strategy for treatment of solid tumors. Here we revealed how EGFR-mutant landscapes are affected at the single-cell resolution level during Unesbulin treatment. This novel drug, by targeting cancer cells and their interactions with crucial TME components, could be envisioned for future therapeutic advancements.
Stay on Track: A Pilot Randomized Control Trial on the Feasibility of a Diet and Exercise Intervention in Patients with Breast Cancer Receiving Radiotherapy
Authors: SenthilKumar Gopika , Schottstaedt Aronne M. , Peterson Lindsay L. , Pedersen Lauren N. , Chitambar Christopher R. , Vistocky Alexis , Banerjee Anjishnu , Longo John M. , Kelly Tracy , Currey Adam , Stolley Melinda R. , Bergom Carmen
Published: March 2024

Purpose:

Among patients with breast cancer undergoing radiotherapy, posttreatment cardiovascular disease and worsened quality of life (QoL) are leading causes of morbidity and mortality. To overcome these negative radiotherapy effects, this prospective, randomized clinical trial pilots a 12-week Stay on Track exercise and diet intervention for overweight patients with nonmetastatic breast cancer undergoing whole-breast radiotherapy.

Experimental Design:

The intervention group (n = 22) participated in three personal exercise and dietary counseling sessions, and received three text reminders/week to adhere to recommendations. The control group (n = 22) was administered a diet/exercise information binder. All patients received a Fitbit, and at baseline, 3 months, and 6 months, measurements of biomarkers, dual-energy X-ray absorptiometry scans, QoL and physical activity surveys, and food frequency questionnaires were obtained. A satisfaction survey was administered at 3 months.

Results:

Stay on Track was well received, with high rates of adherence and satisfaction. The intervention group showed an increase in self-reported physical activity and preserved QoL, a decrease in body mass index and visceral fat, and higher American Cancer Society/American Institute of Cancer Research dietary adherence. The control participants had reduced QoL, anti-inflammatory markers, and increased metabolic syndrome markers. Both groups had decreased overall body mass. These changes were within group effects. When comparing the intervention and control groups over time, there were notable improvements in dietary adherence in the intervention group.

Conclusions:

Targeted lifestyle interventions during radiotherapy are feasible and could decrease cardiovascular comorbidities in patients with breast cancer. Larger-scale implementation with longer follow-up can better determine interventions that influence cardiometabolic health and QoL.

Significance:

This pilot study examines cardiometabolic benefits of a combined diet and exercise intervention for patients with breast cancer undergoing radiotherapy. The intervention included an activity tracker (FitBit) and text message reminders to promote adherence to lifestyle interventions. Large-scale implementation of such programs may improve cardiometabolic outcomes and overall QoL among patients with breast cancer.
Tumor Microenvironment Landscapes Supporting EGFR-mutant NSCLC Are Modulated at the Single-cell Interaction Level by Unesbulin Treatment
Authors: Maroni Giorgia , Krishnan Indira , Alfieri Roberta , Maymi Valerie A. , Pandell Nicole , Csizmadia Eva , Zhang Junyan , Weetall Marla , Branstrom Art , Braccini Giulia , Cabrera San Millán Eva , Storti Barbara , Bizzarri Ranieri , Kocher Olivier , Daniela Sanchez Bassères Daniela S. , Welner Robert S. , Magli Maria Cristina , Merelli Ivan , Clohessy John G. , Ali Azhar , Tenen Daniel G. , Levantini Elena
Published: March 2024

Lung cancer is the leading cause of cancer deaths. Lethal pulmonary adenocarcinomas (ADC) present with frequent mutations in the EGFR. Genetically engineered murine models of lung cancer expedited comprehension of the molecular mechanisms driving tumorigenesis and drug response. Here, we systematically analyzed the evolution of tumor heterogeneity in the context of dynamic interactions occurring with the intermingled tumor microenvironment (TME) by high-resolution transcriptomics. Our effort identified vulnerable tumor-specific epithelial cells, as well as their cross-talk with niche components (endothelial cells, fibroblasts, and tumor-infiltrating immune cells), whose symbiotic interface shapes tumor aggressiveness and is almost completely abolished by treatment with Unesbulin, a tubulin binding agent that reduces B cell–specific Moloney murine leukemia virus integration site 1 (BMI-1) activity. Simultaneous magnetic resonance imaging (MRI) analysis demonstrated decreased tumor growth, setting the stage for future investigations into the potential of novel therapeutic strategies for EGFR-mutant ADCs.

Significance:

Targeting the TME is an attractive strategy for treatment of solid tumors. Here we revealed how EGFR-mutant landscapes are affected at the single-cell resolution level during Unesbulin treatment. This novel drug, by targeting cancer cells and their interactions with crucial TME components, could be envisioned for future therapeutic advancements.
Empowerment, Guidance, and Support: Patient-Dietitian Experiences for Upper Gastrointestinal Cancer Remote Consultations
Authors: Tabacchi Francesca
Published: March 2024

Purpose: This study aimed to explore the patient-dietitian experience during an 18-week nutrition counselling intervention delivered using the telephone and a mobile application to people newly diagnosed with upper gastrointestinal (UGI) cancer. Methods: Qualitative case study methodology was followed, whereby the case was the 18-week nutrition counselling intervention. Dietary counselling conversations and post-intervention interviews were inductively coded from six case participants which included fifty-one telephone conversations (17h), 244 written messages, and four interviews. Results: Themes describing the roles of the dietitian were as follows: regular collaborative problem-solving to encourage empowerment, a reassuring care navigator including anticipatory guidance, and rapport building via psychosocial support. Despite intensive counselling from the dietitian, nutrition impact symptom management was a core unmet need as it required intervention beyond the scope of practice for the dietitian. Conclusion: Delivery of nutrition care via the telephone or an asynchronous mobile application to people with newly diagnosed UGI cancer required the dietitian to adopt a range of roles to influence nutritional intake: they empower people, act as care navigators, and provide psychosocial support.
Performance analysis of microstrip patch antenna for wireless communication systems
Authors: Alagarsamy Manjunathan , Govindasamy Santhakumar , Suriyan Kannadhasan , Rajangam Balamurugan , Mariappan Sivarathinabala , Krishnan Jothi Chitra Ratha
Published: March 2024

An antenna may be thought of as a temporary tool that directs radio waves for transmission or reception. Aside from being inexpensive, small, easy to manufacture, and compatible with integrated electronics, the microstrip patch antenna (MPA) offers several other benefits as well. These two methods are often seen as low-cost, adaptable, dependable, high-speed data connection choices that promote user mobility. An overview of how MPA have been used throughout the last several decades is provided in this article. It has been suggested that there are many approaches to enhance the performance of MPA, including the use of composite antennas, highly integrated antenna/array and feeding networks, operating at relatively high frequencies, and using cutting-edge manufacturing methods. Dual or multiband antennas are essential for meeting the demands of wireless services in this rapidly evolving wireless communication environment. Here is an overview of the patch antenna literature for wireless local area network (WLAN) and worldwide interoperability for microwave access (WiMAX) applications.
Implementation of first order statistical processor on FPGA for feature extraction
Authors: Hadiyoso Sugondo , Ramdani Ahmad Zaky , Irawati Indrarini Dyah , Wijayanto Inung
Published: March 2024

Statistical calculations on signals commonly used in feature extraction. In software processing, statistical computation is an easy task. However, providing a computer requires high costs for simple statistical processing. Another consideration is the need for implementation with real-time and portable processing. Therefore, an alternative device is needed, one of which is the field programmable gate array (FPGA). FPGA is a logic circuit board that can be reconfigured according to computing needs. FPGA can also be used as a prototyping of electronic chips. However, implementing statistical formulas in FPGA is interesting in developing its architecture. Therefore, this research proposes a logic circuit design that can be used for first-order statistical calculations. Statistical parameters include the mean, variance, standard deviation, skewness, and kurtosis. The validation test was performed on the electrocardiogram (ECG) signal series and compared with manual calculations. Validation shows that the mean and variance has very high accuracy with an average error of less than 0.06%.
A novel compression methodology for medical images using deep learning for high-speed transmission
Authors: Navaneethakrishnan Shyamala , Shanmugam Geetha
Published: March 2024

Medical imaging is a rapidly growing field having a high impact on the early detection, diagnosis and surgical planning of diseases. Several imaging techniques such as computed tomography (CT), magnetic resonance imaging (MRI) and ultrasound (US) imaging generate a higher volume of data, necessitating additional storage and communication requirements. Hence, image compression is utilized in medical field to reduce redundancy and alleviate memory and bandwidth issues. This paper presents a novel deep learning-based compression method to reduce the size of medical images. This method employs a deep convolutional neural network for learning compact representations of medical images, then coded by a Huffman encoder. The compression process is reversed to reconstruct the original image. Several tests are conducted to compare the results with other wellknown compression methods. The proposed model achieved a mean peak signal-to-noise ratio (PSNR) of 42.82 dB with storage space saving (SSS) of 96.15% for CT, 43.88 dB with SSS of 96.25% for MRI, 46.29 dB with SSS of 96.07% for US and 43.51 dB with SSS of 96.95% for X-ray images. The findings showed that the proposed compression technique could greatly compress the image size, saving storage space, facilitating better transmission and preserving critical diagnostic information.
Deep learning-based channel estimation with application to 5G and beyond networks
Authors: Jayashankar Parinitha , Shobha B. N.
Published: March 2024

Channel state information (CSI) feedback estimation for a downlink medium in a massive multiple input multiple output (MIMO) system is an essential and critical task to improve channel capacity and performance yield, especially in a frequency division duplex (FDD) multiplexing system. However, spectral efficiency degradation is a massive issue due to high channel feedback overhead. This work proposes a deep learning-based channel estimation (DLCE) model to improve channel reconstruction efficiency and channel overhead reduction accuracy. The proposed deep learning (DL) mechanism consists of encoder and decoder network where encoder network is utilized to compress CSI matrices whereas decoder network is used to decompress obtained CSI matrices. Here, inverse discrete Fourier transform (IDFT) method is utilized to convert CSI matrices of frequency domain into CSI matrices of delay domain. Simulation results are evaluated between uplink and downlink medium in the massive MIMO system considering a co-operation in science and technology (COST) 2,100 model. Here, a significant improvement in correlation and normalized mean square error (NMSE) results is observed. The proposed DLCE model shows superior performance against varied channel estimation techniques in terms of NMSE and correlation efficiency.
Continuous hand gesture segmentation and acknowledgement of hand gesture path for innovative effort interfaces
Authors: Richhariya Prashant , Chauhan Piyush , Kane Lalit , Dewangan Bhupesh Kumar
Published: March 2024

Human-computer interaction (HCI) has revolutionized the way we interact with computers, making it more intuitive and user-friendly. It is a dynamic field that has found it is applications in various industries, including multimedia and gaming, where hand gestures are at the forefront. The advent of ubiquitous computing has further heightened the interest in using hand gestures as input. However, recognizing continuous hand gestures presents a set of challenges, primarily stemming from the variable duration of gestures and the lack of clear starting and ending points. Our main objective is to propose a solution: the framework for “continuous palm motion analysis and retrieval” based on “Spatial-temporal and path knowledge”. Framework harnesses the power of cognitive deep learning networks (DLN), offering a significant advancement in the continuous hand gesture recognition domain. we conducted rigorous experiments using a diverse video dataset capturing hand gestures for boasting an impressive F-score of up to 0.99. The potential of our framework to significantly enhance the accuracy and reliability of hand gesture recognition in real-world applications.
Design and performance analysis of asynchronous network on chip for streaming data transmission on FPGA
Authors: Patil Trupti , Sandi Anuradha M.
Published: March 2024

The majority of the system on chip (SoC) uses the network on chip (NoC) as routing ports for data transfer from node-to-node with minimal power consumption and low latency and high throughput. This paper concentrates on the ability to model the asynchronous NoCs on the asynchronous circuits on field programmable gate arrays (FPGAs). A 3×3 NoC and its universal asynchronous receiver transmitter (UART) protocol is designed and its simulation of the Verilog hardware description language (VHDL) code is done and tested on the Artix-7 FPGA kit, the testing processes in done using the Chipscope tool. In order to meet target requirements in terms of power consumption and latency, the label switching (LS) technique is used as routing. The proposed LS-NoC with level-encoded dual-rail (LEDR) encoding technique provides throughput by registering the packet between the different routers and it helps to improve throughput and speed. The effectiveness of the data transfer is measured and analyzed through a synthesis summary in terms of lookup table’s (LUT’s), slice registers, flip flops’s (FF’s), latency, and packet delivery ratio (PDR) for the traffic pattern generator. The proposed NoC is designed for 8×8 and each port size is 21 bits including ID’s of source and destination routers. The results can be justified by following results: improvement of LUTs is about 12%, flip-flops are 7%, improvement of throughput is 23% and delay is reduced by 26%.
Earthquake detection in mountainous homes using the internet of things connected to photovoltaic energy supply
Authors: Satria Habib , Dayana Indri , Syah Rahmad B. Y. , Noviandri Dian , Zuhanda Muhammad Khahfi , Syafii Syafii , Salam Rudi
Published: March 2024

The North Sumatra region is an area with the potential for earthquakes originating from volcanic and oceanic eruptions which have resulted in many fatalities. Therefore, through the application of automatic monitoring and control system technology connected to the internet of things (IoTs), it is the right solution to provide efforts to increase security for residents of the house to always be vigilant. The security enhancement method referred to in this study is a home security system protection system by anticipating earthquakes. The advantage of this tool is that it applies a notification security system method with a sensitivity sensor which is automatically sent via email and sonor buzzer which also acts as sound vibrations due to an earthquake. The test results show that when a vibration occurs, the system will send a short email message to the user's smartphone so that the user will receive an email in the form of a warning message that the state of the house has an earthquake and the light-emitting diode (LED) interrupts and the buzzer is also on so that the alarm sounds which has been integrated into IoT. Then an integrated security monitoring system using the web can be monitored in real time.
Dual step hybrid routing protocol for network lifetime enhancement in WSN-IoT environment
Authors: Yankanaik Kalpavi C. , Munivenkatappa Sujatha B.
Published: March 2024

Recent development in internet of things (IoT) has been generating huge data due to the large number of nodes deployed and utilized for different applications. In addition, these applications utilize big data and require a more efficient mechanism for data sensing and data transmission. This research work proposes dual step hybrid routing (DSHR) protocol for efficient cluster-based routing. It comprises a two-phase algorithm, which aims at finding the optimal path considering clustering. It further comprises several processes such as cluster head selection, optimal path construction, integrating of nodes to cluster head and sensing range optimization. DSHR is evaluated considering the network lifetime; thereafter model is compared with the existing low energy adaptive clustering hierarchy (LEACH) protocol to prove the efficiency.
Channel access mechanism for maximizing throughput with fairness in wireless sensor networks
Authors: Tauseef Shaik Humera , Fatima Ruksar , Khanam Rohina
Published: March 2024

The spectrum scarcity problem of wireless sensor networks (WSNs) is improved through amalgamation of cognitive radio networks (CRNs) into WSNs. However, spectrum allocation to secondary users (SUs) is challenging in cognitive radio wireless sensor networks (CR-WSNs) as channel is already crowded and at same time should not induce interference to primary users (PUs). In designing efficient spectrum access model for CR-WSNs recent work have adopted machine-learning game theory (GT) and statistical model. However, the major limitation of existing spectrum access model they fail to assure access fairness with maximal throughput with minimal collision. This work presents a maximizing channel access fairness model to handle the research challenges. To boost CR-WSN performance, the throughput maximization using channel access fairness (TMCAF) employs shared and non-shared channel access designs. Experiment outcome shows throughput is improved and collision in network is reduced in comparison with state-of-art channel access models.
An exhaustive review of the stream ciphers and their performance analysis
Authors: Ananth Raghavendra , Ramaiah Narayana Swamy
Published: March 2024

The number of internet of things (IoT) applications has increased, which has increased the demand for low-resource gadgets. The data produced by these devices must be protected to guarantee security. The devices operate in conditions with limited space, computational power, memory, and energy. High-security standards are difficult to achieve with limited resources. The detailed analysis of various stream ciphers and their performance metrics is reviewed in this manuscript. The functionality of the stream ciphers is categorized and thoroughly discussed based on both the hardware and software viewpoints. The security attacks and their countermeasure methods using stream ciphers are discussed. The performance metrics of most hardware-based stream ciphers, including the ECRYPT stream cipher project (eSTREAM) ciphers, are discussed. Each hardware stream cipher design highlights the hardware constraints such as chip area, frequency, throughput, and hardware efficiency. The work also highlights the various applications using these stream ciphers. The current trends using these stream ciphers are discussed with futuristic goals.
Kernel rootkit prevention model using multiclass
Authors: Srinivasan Suresh Kumar , Thalavaipillai Sudalaimuthu
Published: March 2024

Malicious individuals can access a computer network or application thanks to a series of programmes known as rootkit malware. These kernel rootkits use covert methods to conceal the kernel components, various control frameworks, and system activities, making identifying or prohibiting their presence in the target machine challenging. The bulk of rootkit detection and prevention techniques used today are particular to a system and dependent on recognized sources, making them ineffective for growing, evolving, concealed, or unnamed rootkits. This study proposes using the kernel rootkit prevention model using multiclass (KRPMM) system to identify hash values and detect/prevent such rootkits. The file downloaded by the client, who is availing of the service, is not permitted into the node used by the client in the cloud. But, it is redirected to the node wherein the file that has been downloaded and has entered the node anew is examined by a program which is specially coded to test the presence of rootkit in the file by some mechanisms and then comes to a conclusion of either the file being malicious or the file being clean and is free of rootkits. KRPMM tested only 64 rootkits.
Impactos da COVID 19 na sociedade
Authors:   Universidade de São Paulo. Faculdade de Filosofia, Letras e Ciências Humanas. Programa de Pós-graduação em Integração da América Latina
Published: March 2024

A obra traz uma compilação de estudos que versam sobre o impacto da pandemia causada pela pandemia gerada pelo coronavírus (COVID-19), trazendo distintas perspectivas de discussão e de ação por parte de agentes econômicos, sejam eles públicos ou privados. A leitura passa por consequências duráveis da pandemia sobre as economias dos países, se volta para a análise do circuito artístico brasileiro nas dimensões simbólica e econômica, discute políticas públicas educacionais pós-pandemia na América Latina, nos brinda com discussões sobre os desafios na área da saúde com a pandemia sob um foco jornalístico de análise das notícias brasileiras publicadas sobre lockdown. A obra possibilita, ainda, refletir sobre o trabalho dos brasileiros em Portugal em tempos de pandemia, leva à discussão sobre hábitos alimentares no consumo de alimentos frescos e saudáveis, traz um ensaio sobre a educação brasileira na pandemia partir das informações do IDEB, amplia a discussão sobre a pandemia e a educação com um estudo de caso com estudantes de cursos universitários e, ainda, nos leva a uma análise de comportamento de compra de consumidor de imóveis populares durante o período pandêmico. O conjunto das abordagens estimula a pensar em possíveis soluções de políticas públicas, levando em conta as diferentes realidades locais.
Faunal inventory and illustrated taxonomic keys to aquatic Coleoptera (Arthropoda: Insecta) of the northern Western Ghats of Maharashtra, India
Authors: Sheth Sayali D. , Padhye Anand D. , Ghate Hemant V.
Published: March 2024

Following several surveys of aquatic Coleoptera during 2013–2018 in northern Western Ghats, India, we hereby provide an illustrated checklist with modified keys to the species of families Dytiscidae, Gyrinidae, Noteridae, and Hydrophilidae. To date, we have collected 69 species of true water beetles, adding new occurrence records for two species to the fauna of the state. Keys are modified from the works of various authors. Distribution records are provided with district specific records for Maharashtra. Keys, species lists, and distribution records are based on our survey results. Species were identified following the works of various authors, and affirmed by dissecting male genitalia. Provided with keys are habitus images, images of male genitalia for 59 species, and digital drawings & scanning electron micrographs of taxonomically important structures wherever necessary. These surveys were conducted to revive the work on aquatic beetles that have been neglected for about 40 years, and to prepare a revised checklist.
Smilax borneensis A.DC. (Smilacaceae): an addition to the flora of India
Authors: Deka Kishor , Sagarika Das  , Tanti Bhaben
Published: March 2024

The discovery of Smilax borneensis A.DC. in the northeastern state of Arunachal Pradesh represents a significant addition to the flora of India, shedding light on the region’s rich biodiversity. Through field surveys and morphological analysis, this study provides a detailed description of Smilax borneensis, accompanied by high-quality photographs for easy identification. The inclusion of this species not only enriches our taxonomic knowledge but also underscores the importance of ongoing botanical exploration.
Status of floristic diversity and impact of development on two sacred groves from Maval Tehsil (Maharashtra, India) after a century
Authors: Kishor Himmat Saste  , Rani Babanrao Bhagat
Published: March 2024

Global urbanisation and anthropogenic activities are leading to a decline in religious beliefs and adversely affecting the biodiversity, ecology, and environmental sustainability of sacred groves, particularly in Lonavala (Rye Wood Park) and Karla Grove in Maval Tehsil, Pune district, Maharashtra, India. The Lonavala Grove, situated at 18.749° N, 73.403° E, and 622 m, and the Karla Grove, located at 18.760° N, 73.478° E, with an elevation of 621 m, both within the Western Ghats, are undergoing transformations due to landscape gardens and urban developments despite their historical significance. Gammie Alexander‘s 1903 floristic research identified 84 species across both groves, but our present study reveals a significant decline. Lonavala and Karla groves now host 46 genera and 42 species and 25 genera and 29 species, respectively, totaling 120 species from 49 families and 110 genera. This decline is attributed to the introduction of alien and invasive species, resulting in the disappearance of six indigenous species over the past century. The research aims to explore and document changes in floristic diversity, utilising remote sensing methods like NDVI for growth and deterioration assessment, measuring tree and liana girth, and analysing the impact on native flora due to the spread of alien species.
Identifying plants for priority conservation in Samar Island Natural Park forests (the Philippines) over limestone using a localized conservation priority index
Authors: Buot, Jr. Inocencio E. , Marne G. Origenes  , Ren Divien R. Obeña  , Jonathan O. Hernandez  , Noba F. Hilvano  , Diana Shane A. Balindo  , Edelyn O. Echapare
Published: March 2024

The escalating degradation of ecosystems and the consequent reduction in critical services essential for human communities are global concerns. This study aimed to identify top-priority plants for conservation using a localized conservation priority index (LCPI), customized for the locality. The LCPI, a point scoring method, ranked 50 evaluated species based on criteria such as harvesting risk, economic and cultural use, species distribution, and frequency value. Thirteen species were classified as high priority, requiring stringent harvesting regulations, while the remaining 37 were designated at a medium priority level, allowing specific quotas for harvesting. Notably, all 13 high-priority species exhibited higher harvesting risks. These include Caryota rumphiana Mart., Aquilaria cumingiana (Decne.) Ridl., Cycas riuminiana Regel, Dracaena angustifolia (Medik.) Roxb., Oncosperma tigillarium (Jack) Ridl., Oreocnide rubescens (Blume) Miq., Kleinhovia hospita L., Diospyros blancoi A.DC., Codiaeum sp., Gymnostoma rumphianum (Miq.) L.A.S.Johnson, Caryota cumingii Lodd. ex Mart., Artocarpus rubrovenius Warb., and Palaquium sp. Local communities engage in harvesting all parts of certain plant species. Following the identification of priority plants, geotagging was employed to enhance targeted in situ conservation efforts, providing valuable guidance for local leaders in initiating localized conservation of threatened biodiversity.
Nurturing orphaned Indian Grey Wolf at Machia Biological Park, Jodhpur, India
Authors: Gehlot Hemsingh , Gehlot Mahendra , Adhikari Tapan , Gaurav  , Suthar Prakash
Published: March 2024

The Indian Grey Wolf Canis lupus pallipes is an iconic species of grassland in India. It is a Schedule 1 species according to the Wildlife Protection Act, 1972 and CITES Appendix 1 species. In the absence of parental care, five wolf pups were rescued from Baavarla on 26 November 2020 and brought into Machia Biological Park for hand rearing. In the absence of colostrum, a milk replacer formula (PetLac) was provided to the pups. The pups were kept at an ambient room temperature of 101°F as an adjustment to their natural surroundings. Gripe water, Vitamin A, and multivitamins were administered orally. The temperature and body growth parameters were measured and recorded weekly. Rabies vaccine was administered in the 26th week from the date of rescue. The diet of the wolf was gradually changed and from the 37th week, raw meat was included in their diet. Antibiotics Ciplox-TZ (ciprofloxacin and tinidazole tablet) Brand-Cipla and SPORLAC-DS (lactic acid bacillus tablets 120M) Brand-sanzyme Ltd. were given periodically to restore the gut fauna of the pups.
Diversity and species richness of avian fauna in varied habitats of Soraipung range and vicinity in Dehing Patkai National Park, India
Authors: Bhuyan Anubhav , Baidya Shilpa , Jyoti Hazarika Nayan , Sumant Sweeta , Thakur Bijay , Prakash Amit , Gogoi Nirmali , Handique Sumi , Devi Ashalata
Published: March 2024

Dehing Patkai National Park, nestled in Assam’s Upper Brahmaputra valley, features a distinctive lowland forest landscape dominated by Dipterocarpus trees, teeming with fauna encompassing reptiles, birds, and mammals. Avian surveys were conducted from October 2021 to September 2023 to document avifaunal diversity within and surrounding the park. Point-transect method was used. One-hundred-and-fifty-one species from 54 families were recorded, including 43 terrestrial and 11 aquatic bird families. One-hundred-and twenty-seven species were residents, 18 winter migrants, five summer migrants, and one was a local migrant. Habitat disturbance was assessed across five transects; undisturbed habitats in T1 and T2 showed the highest Shannon-Wiener diversity index, while moderately and highly disturbed habitats in T3, T4, and T5 exhibited lower diversity. The analysis revealed a significant positive correlation (p ≤ 0.05) among different transects. A total of seven species (Ashy-headed Green Pigeon, Lesser Adjutant, White-cheeked Partridge, Alexandrine Parakeet, Red-breasted Parakeet, Austen’s Brown Hornbill, and Oriental Darter) are classified as ‘Near Threatened’ in the IUCN Red List of Threatened species; 12 species are in Schedule 1 under the Wildlife (Protection) Act, 1972. This investigation underscores Dehing Patkai National Park’s significance as a sanctuary for diverse bird populations, including threatened and near-threatened species. The decline in bird populations in disturbed areas emphasizes the urgency of implementing effective conservation and management strategies within the park, alongside continued research and monitoring to support its unique avian ecosystem.
Rodent - a part of culture and revolution in India
Authors: Chetia Hiranmoy , Murali Krishna Chatakonda
Published: March 2024

Acknowledging that rodents play numerous vital ecological roles worldwide, particularly in India, they also significantly influence mythology, culture, and history. Despite their common classification as vermin and pests, this paper elucidates the pivotal role rodents play within the Indian context. It delves into instances where rats are revered and highlights their instrumental role in historical events, including facilitating a significant revolution.
Prevalence and Outcomes of Patients With Acute Ischemic Stroke With Concomitant ST-Segment–Elevation Myocardial Infarction (Results From National Inpatient Sample 2016–2019)
Authors: Mehta Shivani , Kakouros Nikolaos , Mir Tanveer , Loree Stacy , Qureshi Waqas
Published: March 2024

BACKGROUND:

Acute myocardial infarction may concomitantly occur with acute ischemic stroke. The prevalence, complications, and outcomes of acute ST-segment–elevation myocardial infarction (STEMI) in patients hospitalized with acute ischemic stroke are not well studied.

METHODS:

We examined hospitalized patients with acute ischemic stroke who were included in the National Inpatient Sample from 2016 to 2019. Acute ischemic stroke and STEMI were defined by using the
International Classification of Diseases-Tenth Revision
diagnostic codes. Patients with Non–STEMI were excluded. The prevalence of complications and outcomes were expressed as percentages. Multivariable logistic regression analysis was used to examine the association of STEMI with a primary outcome of mortality and secondary outcomes. A subgroup analysis of patients with STEMI who underwent percutaneous coronary intervention was also performed.

RESULTS:

Of the total (n=2 080 795) patients with acute ischemic stroke, 0.3% (n=6275; mean age, 70.5 years, 50.1% females, 69.5% White) also had STEMI diagnosed during the hospitalization. Of these, 1775 (28.3%) died in the STEMI group and 76 435 (3.7%) died in the group without STEMI. The most frequent complications in the STEMI group were acute kidney injury, intracranial hemorrhage, and ventricular arrhythmias. All secondary outcomes were associated with the diagnosis of STEMI (odds ratio [OR], 3.19 [95% CI, 2.82–3.6];
P
≤0.001). STEMI was associated with mortality (OR, 8.37 [95% CI, 7.25–9.66];
P
≤0.001) and intracranial hemorrhage (OR, 2.23 [95% CI, 1.84–2.70];
P
≤0.001). Percutaneous coronary intervention was performed in 14.3% of STEMI subgroup patients. Percutaneous coronary intervention is not associated with mortality (OR, 0.93 [95% CI, 0.6–1.43];
P
=0.7), and intracranial hemorrhage (OR, 1.54 [95% CI, 0.0.93–2.56];
P
=0.1).

CONCLUSIONS:

Patients with acute ischemic stroke with STEMI have a higher percentage of mortality. Percutaneous coronary intervention in the subgroup of patients with acute ischemic stroke with concomitant STEMI was not associated with increased odds of mortality and intracranial hemorrhage.
Functional Outcomes and Symptomatic Intracranial Hemorrhage After Endovascular Treatment in Acute Vertebrobasilar Artery Occlusions: External Validation of Prediction Models
Authors: Xu Yingjie , Hu Miaomiao , Zhang Pan , Xiao Lulu , Lu Yanan , Liu Dezhi , Li Yongkun , Alexandre Andrea M. , Pedicelli Alessandro , Broccolini Aldobrando , Scarcia Luca , Chen Hao , Sun Wen
Published: March 2024

Background

Vertebrobasilar artery occlusion (VBAO) is a severe type of stroke. Multiple prediction models for outcome and symptomatic intracranial hemorrhage (sICH) of patients with acute ischemic stroke treated with endovascular treatment have been developed to improve patient management, but few are based on VBAO. This study aimed to provide an overview of published models to predict functional outcome and sICH as well as to validate their ability in patients with acute VBAO treated with endovascular treatment.

Methods

We performed a systematic search to identify models either developed or validated to predict functional outcomes or sICH after endovascular treatment. Models were externally validated in the Posterior Circulation Ischemic Stroke Registry (PERSIST) study (n = 2422). Outcome measures included the modified Rankin Scale (mRS) score at 90 days and sICH. Model performance was evaluated with discrimination (c‐statistic) and calibration (slope and intercept).

Results

A total of 65 models were included in overview. The most frequently used predictors were baseline National Institutes of Health Stroke Scale score (n = 57), age (n = 45), and glucose (n = 32). In the external validation cohort, 777 of 2353 patients (33.0%) achieved mRS score 0–2 at 90 days, 1061 of 2353 patients (45.1%) patients achieved mRS score 0–3 at 90 days, and sICH occurred in 170 of 2422 patients (7.0%). Finally, 27 models were included in external validation. For functional outcome models focusing on mRS score 0–2/3–6, discrimination ranged from 0.63 to 0.66 and best calibrated model was SC (Stroke Checkerboard) (intercept, −0.13 [95% CI, −0.27 to 0.01]; slope, 0.92 [95% CI, 0.67–1.17]). For functional outcome models focusing on mRS score 0–3/4–6, discrimination ranged from 0.64 to 0.74 and best calibrated model was modified Houston Intra‐Arterial Therapy 2 (mHIAT2) (intercept, −0.12 [95% CI, −0.31 to 0.07]; slope, 0.85 [95% CI, 0.65–1.04]). For sICH models, discrimination ranged from 0.53 to 0.83 and best calibrated model was Thrombolysis in Cerebral Infarction score, Alberta Stroke Program Early CT Score, and glucose (TAG) (intercept, 0.13 [95% CI, −0.25 to 0.51]; slope, 0.93 [95% CI, 0.63–1.23]).

Conclusions

The currently published models are inadequate for predicting functional outcomes and sICH in patients with acute VBAO undergoing endovascular treatment and, therefore, there is a need for more effective models specifically developed for VBAO conditions.
THE NEXUS BETWEEN MACROECONOMIC INDICATORS AND ELECTRIC CONSUMPTION EFFECT ON ECONOMIC GROWTH IN TURKEY
Authors: Telli Üçler Yasemin
Published: March 2024

Currently, energy consumption is an important factor regarding its contribution to economic growth rather than the inputs used for its realization. It is known that economic decision units are linked to energy consumption. Innovation of technologies and the use of technology in production increases the energy demand. Energy is complementary to labor and capital in countries' economic and technological development.

The study aims to determine the impact of electricity consumption on economic growth by utilizing selected economic indicators for the period between 1996 and 2022 in Turkey. The study uses the ARDL bounds test approach to analyze the cointegration relationship using economic growth, electricity consumption, foreign direct investment, and general price level data. Short and long term effects have been revealed. It is observed that energy consumption and economic growth have a positive relationship with the same direction in the short and long term. Inflation has a negative impact on energy consumption in the short and long term. In addition, the increase in foreign direct investments in the short term leads to a significant increase in energy consumption in the relevant period in Turkey.
He’s No Spartacus: Jesus, Slavery, and the Utopian Imagination
Authors: Zeichmann Christopher B.
Published: March 2024

James Crossley and Robert Myles’s Jesus: A Life in Class Conflict is a considerable accomplishment in its situation of Jesus as a figure inseparable from the material conditions of labor exploitation. The present review discusses two topics that the book touches upon only briefly, but linger under the surface of their analysis: Jesus’ treatment of enslaved laborers and utopian social experimentation. This article juxtaposes Jesus with the roughly contemporaneous figure of Spartacus to consider about the availability of social experimentation and the location of slaves within class-based analyses of Roman antiquity.
‘You Mean the Transition from bhai to akhi?’
Authors: Rajina Fatima
Published: March 2024

In this paper, the way religious identity is constructed via languages, with a particular focus on Arabic and Bengali terms originating from Persian, will be explored. It is vital to comprehend how Bengali Muslims create this constellation of languages, recognising that religion also has its linguistic demands, as language assists with making identities (Jaspal and Coyle 2010). The two languages will provide traces of how Muslimness is managed in the East End and consider how historically, the role of these languages have shifted. For example, the Persian-origin terms analysed are crucial in understanding Persian’s influence in constructing a particular South Asian Muslim/Islamic expression. I critically examine how Arabic and Bengali intermingle while asserting different socio-religio-positionings. The claims-making qua a religious identity is morphed through various political junctures, particularly while forging a religious identity with other Muslims and how Arabic has become the dominant language in Bengali Muslims’ lives.
Review of the flat bug subfamily Calisiinae from Japan, with description of a new genus and four new species (Hemiptera: Heteroptera: Aradidae)
Authors: HEISS ERNST , SHIMAMOTO SHUSUKE , NAGASHIMA SEIDAI
Published: March 2024

The Calisiinae (Hemiptera: Heteroptera: Aradidae) of Japan are revised. Four species, all undescribed, are recognized. A new genus, Nipponocalisius gen. nov., is proposed, containing three new species: N. ishikawanus sp. nov., N. tomokunii sp. nov. and N. dimorphus sp. nov. A new species of Aradosyrtis A. Costa, 1864, A. shonoi sp. nov., is also described.