bluuebunny/crossref_metadata_2025_split huggingface dataset:
A BERT based Ensemble Approach for Sentiment Classification of Customer Reviews and its Application to Nudge Marketing in e-Commerce
Authors: Putatunda Sayan , Bhowmik Anwesha , Thiruvenkadam Girish , Ghosh Rahul 
Published: November 2023

Abstract
Product reviews are pivotal in guiding customer decisions, fostering trust, and driving loyalty. They offer insight into others’ perceptions, aiding in purchase choices. Understanding sentiments within reviews is crucial for e-commerce platforms, facilitating improved product understanding, positive consumer engagement, and enduring rela- tionships. Moreover, reviews present avenues for innovative marketing strategies, such as “Nudge Marketing,” subtly aiding customers in decision-making. This paper aims to construct a sentiment analysis model using deep learning and natural language processing techniques focused on specific product types on an e-commerce platform. Employing bi-directional LSTMs and BERT, we categorize opinions into positive, negative, or neutral sentiments. The study proposes stacking/ensembling methods, discovering superior prediction accuracy in sentiment classification using one of these approaches.
Real-world customer review data from diverse e-commerce platforms serves as the basis for our experiments. Notably, the stacked ensemble method emerges as the most accurate in sentiment prediction. The paper illustrates how this model output can be leveraged in Nudge marketing, assisting customers in their purchase decisions. Furthermore, a k-armed Bandit Experiment employing Thompson sampling and Monte Carlo simulation explores the effectiveness of review-based Nudging Strategy. Results suggest the review-based nudge or badge as an effective standalone or combined strategy for influencing customer decisions.
A Ka-band Holographic Metasurface Leaky-wave Antenna Based on Liquid Crystal
Authors: Hou Shunhu , Fang Shengliang , Wang Yangyang , Wang Mengtao , Wang Yuxin , Tian Jinlong , Feng Junhao 
Published: November 2023

Abstract
Beam-scanning holographic hypersurface leaky-wave antennas have been a focus of attention for many scholars in recent years, and numerous related results have been obtained. However, these antennas suffer from several issues such as small beam-scanning range, low gain, and unsatisfactory impedance matching. To address these problems, this paper proposes a microstrip line (ML) antenna unit based on liquid crystal (LC) materials etched Complementary Split Ring Resonator (CSRR). In a first-of-its-kind approach, the substrate integrated waveguide (SIW) structure and the ML transmission structure are combined to present the SIW-ML transmission structure. The antenna operates in the Ka-band with excellent resonance characteristics at 34.7 GHz, and the S11 parameters are below − 13 dB in the frequency range of 30–40 GHz, indicating outstanding impedance matching. By arranging 56 antenna units, a periodic leaky-wave antenna is created, enabling fixed-frequency beam-scanning at 34.7 GHz. Experimental results show that the antenna can achieve scanning of angles between − 53° and + 60° with a gain of up to 12.63 dB. Once single-beam scanning is achieved, a method combining LC and discrete amplitude weighting technique, as well as multi-beam theory, is proposed for multi-beam study. Experimental results reveal that the designed 56-unit beam-scanning antenna can effectively realize beam scanning in two directions.
RIS-aided Cooperative FD-SWIPT-NOMA Performance over Nakagami-m Channels
Authors: Junior Wilson de Souza , Abrao Taufik 
Published: November 2023

Abstract
In this work, we investigate reconfigurable intelligent surface (RIS)-assisted Cooperative non-Orthogonal Multiple Access (C-NOMA) consisting of two paired devices. The device with better channel conditions (D1) is designated to act as a full-duplex (FD) relay to assist the device with poor channel conditions (D2). D1 does not use its battery energy to cooperate but harvests energy using Simultaneous Wireless Information Power Transfer (SWIPT). A practical non-linear Energy Harvesting (EH) model is consid- ered. We assume that all devices’ links undergo Nakagami-m channel fading. We first approximate the harvested power as Gamma random variables via the Moment Matching (MM) technique. This allows us to derive analytical expressions for Outage Probability (OP) and ergodic rate (ER) that are simple to compute yet accurate for a wide range of RIS passive elements configurations, EH coefficients, and residual Self Interference (SI) levels, being extensively validated by numerical simulations. The OP expressions reveal how important it is to mitigate the SI in the FD relay mode since, for reasonable values of residual SI coefficient, it is notable its detrimental effect on the system performance. Also, numerical results reveal that increasing the number of RIS elements can benefit the cooperative system much more than the non-cooperative one.
Sex-specific differences in the growth and population characteristics of sand crab Ovalipes punctatus in coastal waters of Korea
Authors: Lee Hyeon Gyu , Jeong Jae Mook , Choi Youn Hee 
Published: November 2023

Abstract

Studying the growth pattern of crabs is essential to understand their ecological roles in populations and benthic communities; such studies on a high commercial-value crab in Asia, Sand crab Ovalipes punctatus, are scarce, and no studies are available for Korea. Therefore, growth and population characteristics of O. punctatus in coastal waters of Korea were investigated. The estimated allometric growth between the sexes showed significant differences in all morphometric measurements. The carapace width-chela length showed positive and negative allometric growth in males and females, respectively; carapace width-abdominal width and orbital spine width showed positive and negative relative growth, respectively, in both sexes. Sexual dimorphism was present in all measured traits. In the results of the Hasselbad’s normal separation method, two modes were observed from September to December. Overall, the growth parameters of males were higher than those of females. Growth was slow for females in August and males in December. The modified von Bertalanffy growth curves indicated asymptotic growth in all sexes. O. punctatus exhibited sex-specific growth strategies and a distinct peak in the recruitment rate in September after the spawning season (May–July). The study results can inform on resource management and policy establishment regarding sand crabs in Korea.
Power and Energy Analysis of BLDC Motors: Impact of Vibration on Performance
Authors: KARDILE BALASAHEB ANNASAHEB , AUTI ABHIJEET BHIKASHET 
Published: November 2023

Abstract
This research paper focuses on the vital role of Brushless Direct Current (BLDC) motors in hybrid vehicle propulsion due to their efficiency and compact design. The primary objective is to evaluate BLDC motor performance within a vehicle chassis, with a specific focus on vibration characteristics. An innovative rotational tracker program is introduced to identify rotating machinery faults efficiently, reducing computational costs and aiding machinery selection for specific applications. The research involves comparing vibration characteristics of BLDC and stepper motors, using a 4kW BLDC motor to measure displacements along the X, Y, and Z axes within specified RPM and torque ranges while monitoring current variations during chassis installation. Findings emphasize the significance of proper motor installation in hybrid vehicle design to mitigate increased vibration levels. This study has implications for motor manufacturers and vehicle designers, underlining the importance of considering vibration performance during motor installation. It concludes by suggesting further research on broader RPM range BLDC motors and on-road measurements to advance understanding in the context of hybrid vehicle propulsion. In summary, this research explores the connection between BLDC motors, vibration characteristics, and their impact on vehicle performance, with significant implications for the automotive industry.
Utilization of Mice as Hansen Disease Models for Comprehensive Analysis of Pathogenesis, Immunological Responses, and Therapeutic Interventions: A Systematic Review Protocol
Authors: Prakoeswa Flora Ramona Sigit , Asaduddin Aiman Hilmi , Pramuningtyas Ratih , Pondang Josafat , Ilyas Muhana Fawwazy , Yanuarsyah Farhan Dhio 
Published: November 2023

Abstract
Leprosy is resulted from chronic infection by Mycobacterium leprae. Leprosy affects the skin, peripheral nerves, and upper respiratory tract. Leprosy is a global health concern and Indonesia has the highest prevalence of leprosy in the world. The disease is characterized by a cytokine response, which is associated with increased inflammatory activity in both limited and multibacillary forms. Therefore, in vitro and in vivo studies are necessary to understand the disease and develop more effective treatments. This systematic search was conducted in several international databases including Scopus, PubMed, ScienceDirect, and Epistemonikos. A search strategy that combined keywords based on Medical Subject Headings (MeSH) and free text, including mice, leprosis, bacterial examination and histopathology. The search was performed using a systematic search strategy. We performed data extraction independently using predefined sheets that included the following information: first author name, year of publication, sample size and characteristics, duration of follow up, exposure method, intervention grouping, and outcomes (bacterial examination, histopathological evaluation, and other inflammatory markers). The results of the risk of bias assessment were displayed in the form of traffic-light plot and summary plot graphs, illustrating the results of a low, high, or unclear risk of biased assessment. The data was analyzed qualitatively.
Prevalence, associated factors and predictors of yoga use among adults in Poland: a nationally representative survey
Authors: Roczon Patryk , Holas Paweł 
Published: November 2023

Abstract

Background
The study aimed to explore the practice of yoga in Poland, as, despite its popularity and well-documented benefits for physical and mental health, there was limited knowledge about the prevalence and correlates of yoga practice in Poland. The research delved into the profiles of individuals who engage in yoga, their motivations for starting practice, and the perceived impact of yoga on their health and overall well-being.
Participants and procedure
The study employed a cross-sectional online survey that reached a representative sample of Poles. 1065 participants, including 563 (52.9%) females, completed the survey in 2022. Between-group comparisons and regression analyses were performed in 2023.
Results
Results suggest that nearly 20% of the Polish population (7.5 million Polish adults) have practiced yoga over a lifetime, with 4.5 million Poles doing so over the last 12 months. Being female, 55 years and older, living in a large city, having higher education, and having good economic status were demonstrated to be predictors of lifetime yoga practice. Improvement of general well-being was found to be the primary motivation for practice. Indeed, practitioners attributed improvements in well-being, health, and energy level to yoga practice.
Conclusions
This study underscores that a significant portion of individuals in Poland engage in self-guided and self-learned yoga as a health intervention and view this practice as advantageous for their well-being.
Intelligent real-time scheduling of water supply network based on deep learning
Authors: Pu Zhengheng , Chen Minghai , Ji Xuanting , Fu Yanfu , Tian Wenchong , Chen Lei , Tao Tao , Xin Kunlun 
Published: November 2023

Abstract

Inappropriate scheduling plans can result in additional economic losses and the safety of water distribution network (WDN). Optimizing manual experience based scheduling plans can help water utilities rationally allocate water plants and pump stations, ensuring the safety, stability, and economy of the water supply system. However, there is a lack of real-time, rational, and optimized scheduling methods. To address this, we proposed a novel intelligent scheduling framework based on deep learning. In this framework, two neural network models, multi-heads convolutional gated recurrent unit network (MH-CGRU) and multi-head gated recurrent unit network (MH-GRU), can effectively extract key features from the WDNs. Operating data were used as decision variables to predict and generate scheduling orders for water plants and pump stations, respectively. The rationality of the orders is verified by combining a high precision online hydraulic model and the evaluation of the operational status of the WDNs. This system has been deployed in a real WDN and put into practical application. From June to November of 2022, the total adoption rate of all orders reached 96.29%, with the average deviation between predicted and actual control targets being less than 5%, and energy consumption decreased by 3.05% compared to the previous year.
Selecting criteria for urban basin delineation based on UAV photogrammetry: a case study in Culiacan, Mexico
Authors: Renteria-Guevara Sergio Arturo , Rangel Peraza Jesus Gabriel , Rivera-Buelna Abel , Monjardin-Armenta Sergio Alberto , Sanhouse-Garcia Antonio Jesus , Garcia-Paez Fernando 
Published: November 2023

Abstract

Urban storm drainage is essential for the large part of the population living in cities with torrential rains to protect public urban infrastructure, private property, and human lives from flooding. The most important design parameter for urban storm drainage is the flow discharge, which is normally calculated with the area, runoff coefficient, and rainfall intensity depending on basin delineation. This requires highly accurate topographic information on the urbanized terrain that digital elevation models sometimes do not meet due to the lack of resolution. This study proposes criteria for delineating urban basins considering urbanization without requiring the usual topographic surveys. The proposed basin delineation is based on a high-resolution digital elevation model obtained from an unmanned aerial vehicle (UAV) and field verification of flow directions. As a result, the delineation of two urban basins was obtained: an urban basin within an area that drains exclusively to a sinkhole and another basin that additionally drains out through other points of the divide. The latter basin does not comply with the traditional concept of a hydrological basin because it has more than one outlet. In addition, this basin has an area that is 38% of the total area draining into the sinkhole.
Removal of Reactive Black 5 from simulated textile effluents by an electrocoagulation process: optimization by response surface methodology
Authors: Mutambyi Valerien , Jean Nepo Hakizimana , Rugabirwa Benoit , Kwisanga Christian , Beakou Buscotin Horax , Munyegaju Jacques , Uwitonze Nestor , Nyandwi Vedaste , Mushirabwoba Bernard 
Published: November 2023

Abstract

The textile industry creates one-fifth of the world's industrial water pollution, thus, the electrocoagulation (EC) process was proposed and investigated as an alternative eco-friendly treatment for water reuse. This study aimed to assess the removal efficiency of the Reactive Black 5 (RB5) from synthetic textile effluent by EC. Key operating parameters on EC process efficiency were optimized using response surface methodology (RSM). The main independent variables studied were the current density, EC time, concentration, and pH while the RB5 dye removal was studied as the dependent variable. The range of the studied parameters affecting the EC process ranged from 10 to 60 mA/cm2, 5 to 30 min, 4 to 10 pH and 10 to 40 ppm for current density, EC time, pH, and RB5 concentration, respectively. The optimal operating parameters turned out to be 5.5 pH, 47.5 mA/cm2, 23.75 min, 17.5 ppm, and the predicted RB5 dye removal was 96.33%. The experimental dye removal with optimum operating conditions was in good agreement with the predicted removal efficiency. Therefore, the experiment results revealed the high potential of the EC process to effectively treat textile industry effluents and the RB5 dye removal was successfully optimized using Response Surface Methodology (RSM).
Antibody-modified Gold Nanobiostructures: Advancing Targeted
Photodynamic Therapy for Improved Cancer Treatment
Authors: Alavi Negin , Maghami Parvaneh , Pakdel Azar Fani , Rezaei Majid , Avan Amir 
Published: November 2023

Abstract:
Photodynamic therapy (PDT) is an innovative, non-invasive method of treating cancer that uses
light-activated photosensitizers to create reactive oxygen species (ROS). However, challenges associated with
the limited penetration depth of light and the need for precise control over photosensitizer activation have hindered its clinical translation. Nanomedicine, particularly gold nanobiostructures, offers promising solutions to
overcome these limitations. This paper reviews the advancements in PDT and nanomedicine, focusing on applying antibody-modified gold nanobiostructures as multifunctional platforms for enhanced PDT efficacy and
improved cancer treatment outcomes. The size, shape, and composition of gold nanobiostructures can significantly influence their PDT efficacy, making synthetic procedures crucial. Functionalizing the surface of gold
nanobiostructures with various molecules, such as antibodies or targeting agents, bonding agents, PDT agents,
photothermal therapy (PTT) agents, chemo-agents, immunotherapy agents, and imaging agents, allows composition modification. Integrating gold nanobiostructures with PDT holds immense potential for targeted cancer
therapy. Antibody-modified gold nanobiostructures, in particular, have gained significant attention due to their
tunable plasmonic characteristics, biocompatibility, and surface functionalization capabilities. These multifunctional nanosystems possess unique properties that enhance the efficacy of PDT, including improved light absorption, targeted delivery, and enhanced ROS generation. Passive and active targeting of gold nanobiostructures can enhance their localization near cancer cells, leading to efficient eradication of tumor tissues upon
light irradiation. Future research and clinical studies will continue to explore the potential of gold nanobiostructures in PDT for personalized and effective cancer therapy. The synthesis, functionalization, and characterization of gold nanobiostructures, their interaction with light, and their impact on photosensitizers' photophysical
and photochemical properties, are important areas of investigation. Strategies to enhance targeting efficiency
and the evaluation of gold nanobiostructures in vitro and in vivo studies will further advance their application
in PDT. The integrating antibody-modified gold nanobiostructures in PDT represents a promising strategy for
targeted cancer therapy. These multifunctional nanosystems possess unique properties that enhance PDT efficacy, including improved light absorption, targeted delivery, and enhanced ROS generation. Continued research
and development in this field will contribute to the advancement of personalized and effective cancer treatment approaches
Investigating High-risk Factors, Precise Diagnosis, and Treatment of Castration- Resistant Prostate Cancer (CRPC)
Authors: Ma Yuan , Liu Zihao , Yu Wenyue , Huang Hua , Wang Yong , Niu Yuanjie 
Published: November 2023

Background:
The treatment of metastatic castration-resistant prostate cancer (mCRPC) in the
actual world currently presents difficulties. In light of this, it is crucial to investigate high-risk factors for the
progression of advanced prostate cancer and to identify methods for delaying the onset of CRPC.

Aims:
This study aimed to explore the high-risk factors that impact the progression of prostate cancer and
emphasize the significance of precise diagnosis and treatment based on etiological classification in the clinical
management of castration-resistant prostate cancer.

Methods:
A retrospective analysis was conducted on 277 newly diagnosed cases of PCa treated with endocrine
therapy. A follow-up was done on prostate-specific antigen (PSA) levels and testosterone. Additionally,
a prospective analysis was performed on the clinical data of 60 patients with CRPC. Following the principle
of "4W1H", 30 patients were included in the precision treatment group for a second biopsy and related tests,
while another 30 patients were included in the conventional treatment group. The therapeutic effect and prognosis
of the two groups were observed.

Results:
Distant metastasis (HR = 1.879, 95% CI: 1.311 ~ 2.694, P = 0.001), PSA nadir > 0.2 ng/mL (HR =
1.843, 95% CI: 1.338 ~ 2.540, P = 0.001), testosterone nadir > 20 ng/dL (HR = 1.403, 95% CI: 1.035 ~ 1.904,
P = 0.029), and time to testosterone nadir > 6 months (HR = 1.919, 95% CI: 1.364 ~ 2.701, P = 0.001) were
risk factors for the progression to CRPC. Patients in the CRPC group were treated with precision therapy and
conventional therapy based on their molecular subtyping. The precision treatment group showed a significantly
prolonged median PSA progression-free survival compared to the conventional treatment group (16.0
months vs. 13.0 months, P=0.025). The median radiographic progression-free survival was also significantly
extended in the precision treatment group compared to the conventional treatment group (21.0 months vs.
16.0 months, P=0.042).

Conclusion:
Patients with prostate cancer diagnosed with distant metastasis at initial presentation require
early intervention. Close monitoring of PSA and serum testosterone changes is necessary during the process
of endocrine therapy. After entering the CRPC stage, the etiological classification precision treatment can
improve the therapeutic effect and improve the prognosis of patients.
Design, Synthesis, Docking Studies, and Biological Evaluation of Novel 2-Hydroxyacetophenone Derivatives as Anti-HIV-1 Agents
Authors: Oliaie Samira Sooreni , Safakish Mahdieh , Roudsari Rouhollah Vahabpour , Mahboubi-Rabbani Mohammad , Hajimahdi Zahra , Zarghi Afshin 
Published: November 2023

Background:
The persistence of HIV mutations and the existence of multidrug resistance
have produced an opportunity for an array of innovative anti-HIV medicines with a variety
of structures that target HIV key enzymes.

Objective:
The goal of this work was to find a new class of anti-HIV drugs founded on HIV integrase
inhibitor pharmacophores.

Method:
A novel class of 2-hydroxy acetophenone analogs featuring substituted benzamide or
N-phenylthiourea groups was designed and synthesized based on the general pharmacophore of
HIV-1 integrase inhibitors (INs).

Results:
Most of the synthesized analogs were found to be moderately active against the virus,
with EC50 values ranging from 40 to 140 μM. Additionally, it was found that most of the compounds
presented no considerable cytotoxicity (CC50 > 500 μΜ). The most potent compounds substituting
with 4-fluorobenzamide (compound 7) and 4-methylbenzamide (compound 9) rings inhibited
the HIV-1 replication by EC50 values of 40 and 45 μΜ, respectively. Docking studies using
the crystallographic data available for PFV IN indicated that the Mg2+ coordination might be
the possible mechanism of the anti-viral activity.

Conclusion:
Our findings proved that the synthesized analogs may suggest a very good basis for
the development of new anti-HIV-1 agents.