bluuebunny/crossref_metadata_2025 huggingface dataset:
Green-Chemical Strategies for Production of Tailor-made Chitooligosaccharides With Enhanced Biological Activities
Authors: Thomas Reeba , Fukamizo Tamo , Suginta Wipa
Published: May 2023

Chitooligosaccharides (COS) are -1,4-linked homo-oligosaccharides of N-acetylglucosamine (GlcNAc) or glucosamine (GlcN), and also include hetero-oligosaccharides composed of GlcNAc and GlcN. These sugars are of practical importance because of their various biological activities, such as anti-microbial, anti-inflammatory, anti-oxidant and anti-tumor activities, as well as triggering the innate immunity in plants. The reported data on bioactivities of COS used to contain some uncertainties or contradictions, because the experiments were conducted with poorly characterized COS mixtures. Recently, COS have been satisfactorily characterized with respect to their structures, especially the degree of polymerization (DP) and degree of N-acetylation (DA); thus, the structure-bioactivity relationship of COS has become more unambiguous. To date, various green-chemical strategies involving enzymatic synthesis of COS with designed sequences and desired biological activities have been developed. The enzymatic strategies could involve transglycosylation or glycosynthase reactions using reducing end-activated sugars as the donor substrates and chitinase/chitosanase and their mutants as the biocatalysts. Site-specific chitin deacetylases were also proposed to be applicable for this purpose. Furthermore, to improve the yields of the COS products, metabolic engineering techniques could be applied. The above-mentioned approaches will provide the opportunity to produce tailor-made COS, leading to the enhanced utilization of chitin biomass.
Comparison of Axillary Versus Rectal Temperature Timing in Canine and Feline Patients
Authors: Beyer Olivia , Lueck Ashlynn , Brundage Cord Michael
Published: May 2023

Research on alternatives to rectal thermometry in canine and feline patients has focused on equipment and measurement location but not procedure duration. In a cross-over designed clinical scenario, we evaluated the time prior to and after (Pre-TempT and Post-TempT) rectal and axillary thermometry in canine (n = 114) and feline (n = 72) patients. Equipment duration was controlled for to determine a presumptive total time (TTime) associated with each thermometry method. Pre-TempT and TTime was significantly shorter in axillary thermometry trials for both canine and feline pets (P < 0.001). There was no difference in Post-TempT between thermometry methods in canine patients (P = 0.887) however, the Post-TempT was longer in felines after axillary thermometry (P = 0.004). Reductions in Pre-TempT and TTime were not significant in Scottish Fold breed cats and within the feline rectal trials, the TTime of domestic-long hair breeds was significantly longer than domestic-short hair breeds (P = 0.019). No other tested parameter played a significant role in these results. Axillary thermometry was faster than rectal thermometry in both canine and felines pets due primarily to the time associated with animal approach and restraint (Pre-TempT). These results have implications when optimizing clinic workflow, appointment durations and patient handling time.
Representation and Stability concerning General Nonic Functional Equation
Authors: Chang Ick-Soon , Lee Yang-Hi , Roh Jaiok
Published: May 2023

In this paper, we introduce a way of representing a given mapping as the sum of odd and even mappings. Then, by using this representation, we investigate the stability of various forms for the general nonic functional equation.
Motivations for Peer-to-Peer Accommodation: Exploring Sustainable Choices in Collaborative Consumption
Authors: Delgado Ana Catarina , Soares Raquel Reis , Proença João F.
Published: May 2023

This research aims to contribute to the growing body of knowledge of Collaborative Consumption (CC) by exploring the motivations that influence the use of Peer-to-Peer (P2P) accommodation platforms from the demand side. There has been a significant increase in interest in sustainable choices regarding P2P accommodation in recent years. To address this gap and contribute to the collaborative consumption and P2P accommodation theory a quantitative study was conducted through a survey yielding 235 responses from both users and non-users of P2P platforms. The findings of this study suggest that P2P accommodation platform usage is influenced by multiple motivations, including sustainability, belonging, economic benefits, and convenience. Interestingly, the study also found that individuals with higher levels of academic qualifications are more likely to adopt this mode of consumption. Moreover, the study is the first of its kind to quantitatively address this topic and, therefore, contributes significantly to the field of collaborative consumption and P2P accommodation theory. By understanding the motivations of P2P platform users, policymakers and practitioners can develop targeted strategies to promote sustainable choices in this sector. Overall, this study provides a useful framework for future research on collaborative consumption and sustainable P2P accommodation.
Reliability of a Smooth Pursuit Eye-Tracking System (EyeGuide Focus) in Healthy Adolescent and Adults
Authors: Pearce Alan J , Daly Ed , Ryan Lisa , King Doug
Published: May 2023

Mild traumatic brain injury (mTBI) is the most common brain injury, seen in sports, falls, vehicle, or workplace injuries. Concussion is the most common type of mTBI. Assessment of impairments from concussion are evolving, with oculomotor testing suggested as a key component in a multi-modality diagnostic protocol. The aim of this study was to evaluate the reliability of one eye-tracking system, the EyeGuide Focus. Seventy-five healthy adolescent and adult participants (adolescents: n=28; female=11, male=17, mean age 16.5 ± 1.4 years; adults n=47; female=22; male=25, mean age 26.7 ± 7.0 years) completed three repetitions of the EyeGuide Focus within the one session. Intraclass correlation coefficient (ICC) analysis showed the EyeGuide Focus had overall good reliability (ICC 0.79, 95%CI: 0.70, 0.86). However, a familiarization effect showing improvements in subsequent trials was noticeable in both cohorts (p<0.001) with adolescent participants showing greater familiarisation effects than adults. No differences were observed between sexes (p=0.69). Overall, the EyeGuide Focus was found to be reliable, but the observation of familiarization effects suggests that a standardized protocol of a minimum of three trials be employed, similar to other eye-movement testing applications.
Feather-Like Gold Nanostructures Anchored onto 3D-Mesoporous Laser-Scribed Graphene: A Highly Sensitive Platform for Enzymeless Glucose Electrochemical Detection in Neutral Media
Authors: Berni Achraf , Amine Aziz , García-Guzmán Juan José , Cubillana-Aguilera Laura , Palacios-Santander José María
Published: May 2023

The authors present a novel sensing platform for a disposable electrochemical, non-enzymatic glucose sensor strip at physiological pH. The sensing material is based on dendritic gold nanostructures (AuNs) resembling feather branches, which are electrodeposited onto a Laser-scribed 3D-Graphene electrode (LSGE). The LSGEs were fabricated via a one-step laser scribing process on a commercially available polyimide sheet. This study investigates several parameters that influence the morphology of the deposited Au nanostructures and the catalytic activity towards glucose electro-oxidation. The electrocatalytic activity of AuNs-LSGE was evaluated using Cyclic Voltammetry (CV), Linear Sweep Voltammetry (LSV), and Amperometry, and was compared to commercially available carbon electrodes prepared under the same electrodeposition conditions. The sensor demonstrated good stability and high selectivity of the amperometric response in the presence of interfering agents, such as ascorbic acid, when a Nafion membrane was applied over the electrode surface. The proposed sensing strategy offers a wide linear detection range, from 0.5 to 20 mM, which covers normal and elevated levels of glucose in the blood, with a detection limit of 0.21 mM. The AuNs-LSGE platform exhibits great potential for use as a disposable glucose sensor strip for point-of-care applications, including self-monitoring and food management. Its non-enzymatic features reduce dependence on enzymes, making it suitable for practical and cost-effective biosensing solutions.
Bacillus licheniformis – A Perspective for Medical Applications Producer of Variety of Antimicrobial Substances Including Antimycobacterials
Authors: Shleeva Margarita , Kondrateva Daria , Kaprelyants Arseny
Published: May 2023

Bacillus licheniformis produce several classes of antimicrobial substances which are mainly either peptides or proteins. Among of them bacteriocins - peptides or proteins of different structural composition including synthesized by bacteria ribosomally; non-ribosomally synthesized peptides and cyclic lipopeptides; exopolysaccharides. Different representatives of these classes act against Gram-positive, Gram-negative bacteria, fungal pathogens and amoebae cells. In this review, a detailed classification of antimicrobial substances produced by B. licheniformis based on their chemical structure and mode of the synthesis and activity is presented. For some (rather limited number) of secreted antimicrobials mechanism of their harmful effect on the target cells is established, however, for many of them it remains unknown. The antimicrobial activity for most substances was studied in vitro only, however some substances were characterized in vivo and are found practical applications in medicine and veterinary. The cyclic lipopeptides with surfactant properties are applied in industry.

In this review, a special attention on antimycobacterials produced by B. licheniformis is made as a possible approach to combat multidrug resistant and latent tuberculosis. Indeed, a number of peptides and proteins revealed strong antimycobacterial activity. However, medical application of some bacteriocins with promising in vitro antimycobacterial activity is limited by their toxicity for animals and humans. In this connection, similarly with the enhancement of the antimycobacterial activity of natural bacteriocins using genetic engineering, reduction of the toxicity by the same approach looks feasible.

A unique capability of B. licheniformis to synthesize and produce a bouquet of different antibacterial compounds allow to consider this organism as a universal natural vehicle for antibiotic substances in form of probiotic cultures strains to combat various types of pathogens including mycobacteria.
An Investigation of High-Performance Pressure Sensor by Employing Polymer Defect-Based 1D Annular Photonic Crystal
Authors: Ameen Ayman A. , Panda Abinash , Mehaney Ahmed , Almawgani AbdulKarem H. M. , Pradhan Dipika D. , Ali Ghassan Ahmed , Elsayed Hussein A.
Published: May 2023

This study aims to theoretically address the design and analysis of an efficient pressure sensor designed by using a polymer-based defective 1D annular photonic crystal (APC). The 1D APC comprises an alternate arrangement of Si and SiO2 in a cylindrical fashion, incorporating a central defect layer. The investigation of the reflectance characteristics of the proposed structure is conducted by separately considering the polystyrene (PS) and the polymethyl methacrylate (PMMA) polymer materials as the defect layer. The pressure-sensitive refractive index of the polymers and the constituent materials of the APC plays a vital role in envisaging the pressure-sensing application. The cornerstone of this study is represented by the shift analysis in the wavelength of the defect mode inside the band gap using different applied pressures by employing the modified transfer matrix method (MTMM). Various geometrical parameters like the defect polymer layer’s thickness and the APC period were carefully optimized to achieve higher sensing performance. The proposed design demonstrated a remarkable pressure sensitivity and FoM of 51.29 nm/GPa and 301.7 GPa-1, respectively, which is considerably high in the current research scenario. It is believed that the proposed structure can be an apt candidate as an innovative high-performance pressure sensor, and it can play a key role in photonic integrated circuits.
Efficient Distortion Mitigation and Partition Reduction in Mapping Earth's Geospatial Data: Dual Orthogonal Equidistant Cylindrical Projection Approach
Authors: Dimitrijević Aleksandar Miroslav , Milosavljević Aleksandar , Rančić Dejan
Published: May 2023

The rapid growth of Earth's global geospatial data necessitates an efficient system for organizing the data, facilitating data fusion from diverse sources, and promoting interoperability. Mapping the spheroidal surface of the planet presents significant challenges, as it involves balancing distortion and splitting the surface into multiple partitions. The distortion decreases as the number of partitions increases, but at the same time the complexity of data processing increases, since each partition represents a separate data set and is defined in its own local coordinate system. In this paper, we propose the dual orthogonal equidistant cylindrical projection method to mitigate distortion and reduce the number of partitions. Additionally, we use the rotation of projection cylinders to effectively minimize average angular and areal distortions of the Earth’s landmass and reduce the interruption of continental plates caused by partition edges. By incorporating auxiliary latitudes and proposing an approximate authalic latitude, we further enhance the mapping of the ellipsoid onto the sphere, simplifying calculations. Experimental results demonstrate a substantial reduction in distortion and interruption of continental plates. With only two partitions, an average landmass angular distortion of less than 3.56 degrees and an average normalized surface distortion of less than 1.07 were achieved.
Correlative Method for Diagnosing Gas-Turbine Tribological Systems
Authors: Deliś Maciej , Kłysz Sylwester , Przysowa Radoslaw
Published: May 2023

Lubricated tribosystems such as main-shaft bearings in gas turbines have been successfully diagnosed by oil sampling for many years. In practice, the interpretation of wear debris analysis results can pose a challenge due to the intricate structure of power transmission systems and the varying degrees of sensitivity among test methods. In this work, oil samples acquired from the fleet of M601T turboprop engines were tested with optical emission spectrometry. Two-way analysis of variance (ANOVA) with interaction analysis and post hoc tests were carried out on measurement data from the whole fleet of the M-601T turboprop engines to study the impact of aluminum and zinc concentration on iron concentration. Finally, the developed model was used to evaluate the oil testing results for two specific engines of this type. Thanks to ANOVA, the assessment of engine health is based on a statistically proven correlation between the values of the dependent variable and the classifying factors.
CDC20 Is Regulated by the Histone Methyltransferase, KMT5A, in Castration Resistant Prostate Cancer
Authors: Alebady Zainab Adnan Hatem , Azizyan Mahsa , Nakjang Sirintra , Lishman-Walker Emma , Al-Kharaif Dhuha , Choo Hui Xian , Garnham Rebecca , Scott Emma , Johnson Katya Leonie , Robson Craig , Coffey Kelly
Published: May 2023

The methyltransferase, KMT5A has been proposed as an oncogene in prostate cancer and therefore represents a putative therapeutic target. To confirm this hypothesis we have performed a microarray study in a prostate cancer cell line model of androgen independence following KMT5A knockdown in the presence of transcriptionally active androgen receptor (AR) to understand which genes and cellular processes are regulated by KMT5A in the presence of an active AR. We observed that 301 genes were down-regulated whilst 408 were up-regulated when KMT5A expression was reduced. KEGG pathway and Gene Ontology analysis revealed apoptosis and DNA damage signaling are up-regulated in response to KMT5A knockdown whilst protein folding and RNA splicing were down-regulated. Under these conditions, the top non-AR regulated gene was found to be CDC20, a key regulator of the spindle assembly checkpoint with an oncogenic role in several cancer types. Further investigation revealed that KMT5A regulates CDC20 in a methyltransferase dependent manner to modulate both histone H4K20 methylation within its promoter region and indirectly via the p53 signalling pathway. A positive correlation between KMT5A and CDC20 expression was also observed in clinical prostate cancer samples further supporting this association. Therefore, we conclude that KMT5A is a valid therapeutic target for the treatment of prostate cancer and CDC20 could potentially be utilized as a biomarker for effective therapeutic targeting.
Molecular Dynamics Modeling for the Elastic Moduli Determination of Polymer-SWCNT Composites
Authors: Shamsieva Aigul , Evseev Alexander , Piyanzina Irina , Nedopekin Oleg , Tayurskii Dmitrii
Published: May 2023

The use of carbon nanotubes to improve the mechanical properties of polymers is one of the promising directions in materials science. The addition of single-walled carbon nanotubes (SWCNT) to a polymer results in significant improvement of mechanical, electrical, optical, and structural properties. However, the addition of SWCNTs does not always improve the polymer properties. Also, when a certain content of SWCNTs is exceeded, the mechanical properties of the nanocomposite are getting worse. This article reports the results of computer simulations for predicting the mechanical properties of polymer/single-walled carbon nanotube nanocomposites. The efficiency of reinforcing polymer composites is considered depending on the concentration of carbon nanotubes in the polymer matrix, their size and structure. The elastic moduli of the nanocomposites were predicted using computer simulations for unit cell tension (0.1%). General trends in the mechanical properties of composites with polypropylene, poly (ethyl methacrylate), polystyrene matrices and SWCNTs are shown.
Carbon Storage in Timber Buildings: LCA from Cradle-To-Handover Approach for GHG Emissions Mitigation
Authors: Di Ruocco Giacomo , Gaita Angela
Published: May 2023

The issue of environmental sustainability is increasingly topical and one of the most impactful sectors is that of the construction industry. As stated in the reports of the GlobalABC, the building sector is the main responsible for GHG emissions, generating about 37% of global CO2e emissions. Already during the phases of production and construction of buildings about 10% of global emissions are produced, while the remaining part comes from their use, from the energy for air conditioning and lighting. Reducing emissions in the pre-use phase of buildings is therefore a crucial issue for combating climate change. The research investigates the potential of timber construction systems, thanks to the carbon storage property of the material. The proposed calculation methodology is structured according to the LCA-Life Cycle Assessment approach, referring to the C2H phase (from Cradle-To-Handover), and evaluates emissions related to the production and construction of buildings. To identify the timber construction system that minimizes CO2e emissions, within the limits of the investigation (A1-A5 phases), the method was applied to two buildings built with different technologies: one with X-Lam panels and one with a framed structure. The results were analyzed, compared, and discussed to demonstrate that the timber buildings are the most virtuous solution in the Net Zero Carbon perspective by 2050.
Effect of In Vitro Addition of Melatonin and Glutathione on Seminal Parameters of Rams after Thawing
Authors: Carriço Cristiana , Barbas João Pedro , Pimenta Jorge , Simões João
Published: May 2023

Glutathione (GSH) and melatonin (MLT) are two antioxidants that have been described as having a protective role against oxidative stress in several animal species, improving sperm quality and survival after cryopreservation. Since there is no knowledge on the simultaneous use of these two substances concerning its effects on ram semen cryopreservation, this study aimed to evaluate the effects of MLT, GSH, or their association, on in vitro parameters of ram semen after thawing. During eight weekly sessions, the semen from three Merino rams was pooled, divided into four aliquots, and diluted with an egg yolk-based semen extender without (control) and with antioxidants (MLT 1mM, GSH 5mM, and MLT 1mM + GSH 5mM). Diluted semen was evaluated before and after freezing process. Supplementation of fresh semen with GSH at 5 mM had a deleterious effect on total motility progressive (TPM), curvilinear velocity (VCL), straight-line velocity (VSL), average-path velocity (VAP), linearity (LIN), straightness (STR) and increased slow spermatozoon (%). MLT at 1 mM also has a negative effect on TPM, VSL, and STR in fresh semen. In thawed semen, 1 mM of melatonin increased the TPM regarding the group control. Also, the combination of both antioxidants attenuates the negative effect of GSH 5mM on TPM, VSL and BCF. These results indicate that 5mM GSH impairs or does not improve sperm kinetic parameters in fresh semen and suggest that melatonin when combined with GSH plays a protective role on these effects.
Multi-Scale Similarity Guidance Few-Shot Network for Ship Segmentation in SAR Images
Authors: Li Ruimin , Li Jichao , Gou Shuiping , Lu Haofan , Mao Shasha , Guo Zhang
Published: May 2023

Target detection and segmentation in synthetic aperture radar (SAR) images are vital steps for many remote sensing applications. In the era of data-driven deep learning, this task is extremely challenging due to the limited labeled data. Few-shot Learning has the ability to learn quickly from few samples with supervised information. Inspired by this, a few-shot learning framework named MSG-FN is proposed to solve the segmentation of ship targets in heterologous SAR images with few annotated samples. The proposed MSG-FN adopts a dual-branch network consisting of a support branch and a query branch. The support branch is used to extract features with an encoder, and the query branch uses a U-shaped encoder-decoder structure to segment the target in the query image. The encoder of each branch is composed of well-designed residual blocks combined with filter response normalization to capture robust and domain-independent features. A multi-scale similarity guidance module is proposed to improve the scale adaptability of detection by applying hand-on-hand guidance of support features to query features of various scales. In addition, a SAR dataset named SARShip-4i is built to evaluate the proposed MSG-FN and the experimental results show that the proposed method achieves superior segmentation results compared with the state-of-the-arts.
In Situ Tensile Testing under High Speed Optical Recording to Determine Hierarchical Damage Kinetics in Polymer Layers of Flax Fibre Elements
Authors: Richely Emmanuelle , Beaugrand Johnny , CORET Michel , Binetruy Christophe , Ouagne Pierre , Bourmaud Alain , Guessasma Sofiane
Published: May 2023

This study aims at better understanding the damage and fracture kinetics in flax fibres elements at both the unitary and bundle scales using an experimental setup allowing optical observation at high recording rate in the course of tensile loading. Defects issues from flax unitary fibre extraction are quantitated using polarized light microscopy. Tensile loading is conducted according to a particular setup adapted to fibres of 10 to 20 µm in diameter and 10 mm in length. Optical recording using high speed camera is performed during loading up to the failure at acquisition speed ranging from 108,000 to 270,000 frames per second. Crack initiation in polymer layers of fibre elements, propagation as well as damage mechanisms are captured. The results show different failure scenarios depending on the fibre element nature. In particular, fractured fibres underline either a fully transverse failure propagation or a combination of transverse and longitudinal cracking with different balances. Image recordings with high time resolution down to 3.7 μs suggest unstable system and transverse crack speed higher than 4 m/s and a slower propagation for longitudinal crack deviation.
Evaluating the Effect of Shelf-Storage, Daylight, and Air Oxygen on the Peroxidase-like Activity of Unmodified Silver Nanoparticles
Authors: Hormozi Jangi Saeed Reza
Published: May 2023

In this contribution, unmodified silver nanoparticles were synthesized and characterized for their size and morphological properties. Thereafter, their peroxidase-like activity as the common catalytic property of silver nanoparticles was investigated by catalyzing the oxidation of 3,3’,5,5’-tetramethyl-benzidine (TMB) as peroxidase substrate, exhibiting, a specific activity as high as 5.4 µM min-1 for the as-prepared unmodified silver nanoparticles. The stability of the catalytic activity of the as-prepared nanozymes was also checked upon their storage at ambient temperature within 7 days at different storage conditions. The results revealed that the peroxidase-like activity of unmodified silver nanoparticles was approximately retained at about 75%, and 63% after 7 days exposing daylight and air oxygen, in order. The shelf-life (storage stability) of the as-prepared nanozymes was also investigated at usual storage conditions (i.e., 4 ℃ under dark), revealed that the nanozymes saved their activity about 96% of their initial activity after 10 days of storage at 4 ℃ under dark conditions.
Durability Evaluation of Hydraulic Tunnel Lining Structure Based on Set-Pair Analysis and Extension Coupling Model
Authors: Li Qingfu , Luo Zhuangzhuang , Jin Whenchao
Published: May 2023

A series of water diversion projects to address the uneven distribution of water resources in China involve the construction of a large number of hydraulic tunnels. As the lining structure that maintains the stability and durability of the tunnels, it is prone to durability damage during the operation process, which in turn affects the water transmission safety and water supply capacity. Therefore, it is important to evaluate the durability of hydraulic tunnel lining structure. Considering the randomness and fuzziness of the factors affecting the durability of hydraulic tunnel lining structure, this paper proposes a comprehensive evaluation model based on the coupling of set-pair analysis and extension. The G1 method and the simple correlation function method are used to determine the subjective and objective weights of the evaluation indexes respectively, and the combination weight is assigned based on the principle of minimum entropy; the set-pair analysis principle is used to establish the linkage affiliation function, calculate the comprehensive linkage affiliation of the object to be evaluated, and the maximum affiliation principle is used to judge the durability level of the hydraulic tunnel lining structure. Finally, taking a section of hydraulic tunnel as an example, the model proposed in this paper is used to calculate its durability grade as Class III, with the set-pair potential SHI(H) = 7.5856, which is consistent with the actual engineering practice, and a comparative study is done in combination with the AHP-Extenics method. It is verified that the evaluation model can scientifically and reasonably evaluate the durability of hydraulic tunnel lining structure, providing a basis for subsequent maintenance and reinforcement.
Impact of Homegrown School Feeding Program on Smallholders' Farmer Household Food Security in Northeastern Nigeria
Authors: Barnabas Bulus , Agyemang Sylvester Amoako , Zhllima Edwin , Bavorova Miroslava
Published: May 2023

In various countries of the global south, school feeding programs are implemented in order to alleviate short-time hunger in children, improved their nutrition and provide employment for food vendors. The impact of these programs is important not only in terms of pupils’ nutrition but also in improving farmers’ livelihoods. This study analyzes the impact of the school feeding program on smallholders' food security based on data collected in 2021 from 240 farmers surveyed in northeast Nigeria. Differently from other studies, several econometric methods are used to analyze the data, namely, binary probit regression, propensity score matching, inverse probability weighted adjusted regression and endogenous switching regression. The results show that about 40% of the beneficial smallholder farmers are food secure compared to 20% of the non-beneficiary households. Findings revealed that the Homegrown school feeding program (HGSF) positively improved smallholder farmers improve household food security status. Results provide evidence for the need to expand school feeding programs vis-a-vis interventions in facilitating farmers’ access to capital and capacity building for better integration in the supply chain.
Initial Coefficients Bounds for Bi-univalent Functions Related to Gregory Coefficients
Authors: Murugusundaramoorthy Gangadharan , Vijaya Kaliappan , Bulboaca Teodor
Published: May 2023

In the present paper we introduce three new classes of bi-univalent functions connected with Gregory coefficients. For functions in each of these three bi-univalent function classes we have derived the estimates of the Taylor--Maclaurin coefficients $\left|a_{2}\right|$ and $\left|a_{3}\right|$ and Fekete-Szeg\H{o} functional problems for functions belonging to these new subclasses. We defined three subclasses of the class of the bi-univalent functions $\Sigma$, namely $\mathfrak{HG}_{\Sigma}$, $\mathfrak{GM}_{\Sigma}(\mu)$ and $\mathfrak{G}_{\Sigma}(\lambda)$ by using the subordinations with the function whose coefficients are Gregory's numbers. First, we proved that these classes are not empty, i.e. contains other functions than the identity one. Using the well-known Carath\'eodory Lemma for the functions with real positive parts in the open unit disk, together with an estimation due to P. Zaprawa (see https://doi.org/10.1155/2014/357480) and another one of Libera and Zlotkiewicz, we gave upper bounds for the above mentioned initial coefficients and for the Fekete-Szeg\H{o} functionals. The main results are followed by some particular cases, and the novelty of the definitions and the proofs could involve further studies for such type of similarly defined subclasses.
Wi-Senser: Contactless Head Movement Detection During Sleep Utilizing WiFi Signals
Authors: Fang Yi , Liu Wei , Zhang Sun
Published: May 2023

Detecting human head movement during sleep is important as it can help doctor to access some physical or mental health problems like infantile eczema, calcium deficiency, insomnia, anxiety disorder and even Parkinson’s disease, and provide useful clues for scientific diagnosing. To obtain the information of sleep head movement, current solutions either use the camera or require the user to wear intrusive sensors to collect the image or motion data. However, the vision-based schemes depend on the environmental light conditions and also bring privacy concerns. Some people including the elderly and infant may be reluctant to wear wearable devices during sleep. In this paper, we propose a novel system called Wi-Senser to address the issues mentioned above. Our Wi-Senser directly reuses the existing WiFi infrastructure and exploits the fine-grained channel state information (CSI) of WiFi signals to capture the minute human head movement during sleep without attaching any sensors to the human body. We design and implement our system with just one commercial off-the-shelf (COTS) router and one laptop equipped with Intel 5300 network interface card (NIC). We evaluate the performance of Wi-Senser with 6 volunteers (4 adults and 2 children). Extensive experiments demonstrate that Wi-Senser can achieve a 98.5% accuracy for head movement detection during sleep. Wi-Senser provides a new solution for achieving noninvasive, continuous and accurate human minute movement detection without any additional cost.
D-VINS:Dynamics Adaptive Visual-Inertial SLAM With IMU Prior and Semantic Constraints in Dynamic Scenes
Authors: Sun Yang , Wang Qing , Yan Chao , Feng Youyang , Tan Rongxuan , Shi Xiaoqiong , Wang Xueyan
Published: May 2023

Visual inertial SLAM algorithms enable robots to autonomously explore and navigate in unknown scenes. However, most of the current SLAM systems highly rely on static environment assumptions, which fails in the exsitence of motional objects in the real environment. To improve the robustness and localization accuracy of SLAM systems in dynamic scenes, this paper proposes a visual-inertial SLAM framework that fuses semantic and geometric information, called DA-VINS. First, this paper presents a dynamic object classification method based on feature’s current motion state, which obtains temporary static features in the environment. Secondly, a features dynamics check module based on IMU prior and adjacent frame’s geometry constraint is designed to calculate dynamic factors. It also verifies the classification results of temporary static features. Finally, a dynamic adaptive bundle adjustment module based on the features’ dynamic factors is designed to adjust the weights of features in nonlinear optimization. We evaluated our method in public and our dataset. The results show that D-VINS is one of the most real-time, accurate, and robust systems in dynamic scenes.
Wavelet Analysis of Respiratory Muscle sEMG Signals During the Physiological Breakpoint of Static Dry End-Expiratory Breath-Holding in Naive Apneists: A Pilot Study
Authors: Mišić Nataša Ž. , Ostojić Mirko , Cvetković Saša , Miodragović Petar , Aničić Zdravko , Popović Anita , Stefanović Đorđe
Published: May 2023

The wavelet spectral characteristics of three respiratory muscle signals (Scalenus (SC), Parasternal intercostal (IC) and Rectus abdominis (RA)) and one locomotor muscle Brachioradialis (BR) were analyzed in the time-frequency (T-F) domain during breath-holding (BH). Study was performed for an end-expiratory BH maneuver on twelve healthy, physically active, naive apneists (6 professional athletes; 6 recreational athletes, two in the post-COVID-19 period) using surface electromyography (sEMG). We observe individual effects dependent on muscle oxygenation and person’s fitness, consistent with the mechanism of motor unit (MU) recruitment and the transition of slow-twitch oxidative (type 1) to fast-twitch (oxidative) glycolytic (type 2) muscle fibers. Professional athletes had longer BH duration (BHD) and strong hypercapnic response on expiratory RA, which is activated abruptly at higher BHDs in a person-specific range below 250 Hz and dependent on BHD. This is in contrast with recreational athletes, who had strong hypoxic response on inspiratory IC, which is activated faster and gradually in the frequency range of 250-450 Hz (independent of the apneist and BHD). This pilot study preliminarily indicates that it is possible to non-invasively assess the physiological characteristics of skeletal muscles, especially oxygenation, and improve physical fitness tests by determining T-F features of elevated myoelectric IC and RA activity during BH.
A Review of Machine Vision Pose Measurement
Authors: Xiaoxiao Wang , Beng Ng Seng , Wirza bt O. K. Rahmat Rahmita , Suhaiza binti Sulaiman Puteri
Published: May 2023

This review paper provides a comprehensive overview of machine vision pose measurement algorithms. The paper focuses on the state-of-the-art algorithms and their applications. The paper is structured as follows: The introduction in Section 1 provides a brief overview of the field of machine vision pose measurement. Section 2 describes the commonly used algorithms for machine vision pose measurement. Section 3 discusses the factors that affect the accuracy and reliability of machine vision pose measurement algorithms. Section 4 presents the applications of machine vision pose measurement in various fields. The paper provides specific examples of how machine vision pose measurement is used in each of these fields. Finally, Section 5 summarizes the paper and provides future research directions. The paper highlights the need for more robust and accurate algorithms that can handle varying lighting conditions and occlusion. It also suggests that the integration of machine learning techniques may improve the performance of machine vision pose measurement algorithms. Overall, this review paper provides a comprehensive overview of machine vision pose measurement algorithms, their applications, and the factors that affect their accuracy and reliability. It provides a valuable resource for researchers and practitioners working in the field of computer vision.
Effect of Biochar Application on Morpho-Physiological Traits, Yield, and Water Use Efficiency of Tomato Crop Under Water Quality and Deficit
Authors: Obadi Abdullah , Alharbi Abdulaziz , Alomran Abdulrasoul , Alghamdi Abdulaziz , Louki Ibrahim , Alkhasha Arafat
Published: May 2023

The use of saline water under drought conditions is critical for sustainable agricultural development in arid regions. Biochar used as a soil amendment to enhance soil properties such as water-holding capacity and the source of nutrition elements of plants. Therefore, the experiment was conducted to evaluate the effects of biochar application on the morpho-physiological traits and yield of tomatoes under combined salinity and drought stress into greenhouses. There were 16 treatments consist two water quality fresh and saline (0.9 and 2.3 dS m-1), three deficit irrigation levels (DI) 80, 60, and 40% addition 100% of ETc, and biochar application by rate 5% (BC5%) (w/w) and untreated soil (BC0%). The results indicated that the salinity and water deficit negatively affected morphological, physiological, and yield traits. In contrast, the application of biochar improved all traits. The interaction between biochar and saline water leads to decreased vegetative growth indices, leaf gas exchange, relative water content of leaves (LRWC), photosynthetic pigments, and yield, especially with the water supply deficit (60 and 40% ETc), where the yield decreased by 42.48% under the highest water deficit at 40% ETc compared to the control. The addition of biochar with freshwater led to significantly increased of vegetative growth, physiological, yield, WUE, and less proline content under all various water treatments compared to untreated soil. In general, biochar combined with DI and freshwater could be improve morpho-physiological attributes, to sustain the growth of tomato plants, and increase productivity in arid and semi-arid regions.
Therapeutic Potential of Caffeic Acid Phenethyl Ester (Cape) and Derivatives With Anti-inflammatory, Antioxidant, and Neuroprotective Activities
Authors: Perez Rebeca , Burgos Viviana , Marín Víctor , Camins Antonio , Olloquequi. Jordi , Gonzalez-Chavarría Ivan , Ulrich Henning , Wyneken Ursula , Ortiz Leandro , Paz Cristian
Published: May 2023

Neurodegenerative disorders are characterized by a progressive process of degeneration and neuronal death, where oxidative stress and neuroinflammation are key factors that contribute to the progression of these diseases. Therefore, two major pathways involved in these pathologies have been proposed as relevant therapeutic targets: The nuclear transcription factor erythroid 2 (Nrf2), which responds to oxidative stress with cytoprotecting activity and the nuclear factor NF-κB pathway, which is highly related to the neuroinflammatory process by promoting cytokine expression. Caffeic acid phenethyl ester (CAPE) is a phenylpropanoid naturally found in propolis that shows important biological activities, including neuroprotective activity by modulating the Nrf2 and NF-kB pathways, promoting antioxidant enzyme expression and inhibition of proinflammatory cytokine expression. Its simple chemical structure has inspired the synthesis of many derivatives, with aliphatic and/or aromatic moieties, some of which have improved the biological properties. Moreover, new drug delivery systems increase the bioavailability of these compounds in vivo, allowing its transcytosis through the blood-brain barrier, thus protecting brain cells from the increased inflammatory status associated to neurodegenerative and psychiatric disorders. This review summarizes the biosynthesis and chemical synthesis of CAPE derivatives, their miscellaneous activities, and relevant studies (from 2010 to 2023) addressing their neuroprotective activity in vitro and in vivo.
A Transverse Hamiltonian Approach to Infinitesimal Perturbation Analysis of Quantum Stochastic Systems
Authors: Vladimirov Igor G.
Published: May 2023

This paper is concerned with variational methods for open quantum systems with Markovian dynamics governed by Hudson-Parthasarathy quantum stochastic differential equations. These QSDEs are driven by quantum Wiener processes of the external bosonic fields and are specified by the system Hamiltonian and system-field coupling operators. We consider the system response to perturbations in these operators and introduce a transverse Hamiltonian which encodes the propagation of the perturbations through the unitary system-field evolution. This approach provides an infinitesimal perturbation analysis tool which can be used for the development of optimality conditions in quantum control and filtering problems. Such settings employ, as performance criteria, quadratic (or more complicated) cost functionals of the system and field variables to be minimised over the energy and coupling parameters of system interconnections. We demonstrate an application of the transverse Hamiltonian variational approach to a mean square optimal coherent quantum filtering problem for a measurement-free field-mediated cascade connection of a quantum system with a quantum observer.
Analisis Pembuktian oleh Penuntut Umum Atas Putusan Tindak Pidana Perbankan Pencatatan Palsu
Authors: Krishnugraha Hilkia Dimas
Published: May 2023

Abstrak: Penelitian ini bertujuan untuk mencari solusi atas tindak pidana pencatatan palsu berdasarkan Pasal 184 ayat (1) KUHAP. Jenis penelitian yang digunakan adalah penelitian hukum normatif yang bersifat preskriptif dan terapan. Pendekatan penelitian hukum ini adalah pendekatan kasus. Bahan hukum yang digunakan terdiri dari bahan hukum primer dan bahan hukum sekunder. Teknik pengumpulan bahan hukum yang digunakan adalah studi kepustakaan. Teknik analisis bahan hukum yang digunakan dalam penulisan hukum ini adalah metode silogisme dengan menggunakan pola pikir deduktif. Hasil penelitian ini menunjukkan bahwa pembuktian perkara tindak pidana penipuan perbankan yang tertuang dalam Putusan Pengadilan Negeri Makassar Nomor 1124/Pid.Sus/2020/PN.Mks, sesuai dengan Pasal 184 ayat (1) KUHAP. karena pendekatan umum telah menghadirkan alat – alat bukti yang sah yaitu keterangan dan keterangan, serta barang sebagai alat bukti pendukung. 

Kata kunci: Bukti; Kejahatan Perbankan; Membuktikan 

Abstract: This study aims to find a solution to the crime of false registration under Article 184 paragraph (1) of the Criminal Procedure Code. The type of research used is normative legal research that is prescriptive and applied. This legal research approach is a case approach. The legal materials used consist of primary legal materials and secondary legal materials. The technique of collecting legal materials used is literature study. The legal material analysis technique used in writing this law is the syllogism method using a deductive mindset. The results of this study indicate that the proof of the fraudulent banking crime case contained in the Makassar District Court Decision Number 1124/Pid.Sus/2020/PN.Mks, is in accordance with Article 184 paragraph (1) of the Criminal Procedure Code because the general approach has presented tools - valid evidence, namely information and information, as well as goods as supporting evidence.

Keywords: Prove; Evidence; Banking Crime
Revising the 2007 Peru Earthquake Damage Monitoring Using Machine Learning Models and Satellite Imagery
Authors: Adriano Bruno , Miura Hiroyuki , Liu Wen , Matsuoka Masashi , Portuguez Eduardo , Diaz Miguel , Estrada Miguel
Published: May 2023

We revised the building damage caused by the 2007 Pisco-Peru Earthquake using machine learning models and high-resolution satellite imagery. A framework for rapidly detecting collapsed buildings was proposed in the project “Development of Integrated Expert System for Estimation and Observation of Damage Level of Infrastructure in Lima Metropolitan Area” (JST-JICA SATREPS). The framework is based on a semantic segmentation model trained on freely available satellite and aerial imagery that does not include the target area. Thus, the generalization performance of the proposed framework was analyzed. Qualitative and quantitative analyses demonstrated that the proposed framework successfully predicted the distribution of collapsed buildings in Pisco. Moreover, it also reflects the ability to detect newly placed shelters. Our current trained model enables the rapid estimation of damaged buildings, crucial information for emergency response, and temporary refuges, which are also essential for fast rescue actions.
Los desafíos de un proyecto higienista. La fundación del Hospital General de México, el primer nosocomio moderno
Authors: Córdoba Flores Consuelo
Published: May 2023

Este trabajo analiza las vicisitudes urbano-arquitectónicas y tecnológicas a las que se enfrentaron el doctor Eduardo Liceaga y el ingeniero Roberto Gayol durante la edificación del primer nosocomio moderno de México. Su diseño plasmó las máximas del higienismo europeo, que apostó al pabellón como el arquetipo arquitectónico que favorecería el aireamiento e iluminación naturales de las salas de enfermos, asegurando la sanidad del espacio. Su materialización significó, además, equipar con la tecnología de punta de la época al hospital, lo que permitiría el ejercicio de las nuevas prácticas terapéuticas de electroterapia, hidroterapia y mecanoterapia. Dicha materialización implicó la necesidad de dotar de las redes de infraestructura de agua potable, drenaje y alumbrado eléctrico, a una colonia apenas trazada, que formaba parte del proyecto porfiriano de crecimiento de la Ciudad de México.
Pengolahan Sampah untuk Mengurangi Sampah di Kelurahan Pamulang Barat, Kecamatan Pamulang, Kota Tangerang Selatan
Authors: Anggraeni Retno , Sucahyanto
Published: May 2023

Penelitian ini bertujuan untuk mendeskripsikan, menganalisis sistem pengelolaan, pemilahan sampah yang dilakukandi TPS3RR dalam mengurangi beban pengolahan sampah di TPA dengan mengurangi timbulan sampah dari sumbernya. Penelitian ini dilakukan pada  bulan  Desember  2021 sampai dengan Januari  2022. Metode penelitian  ini  menggunakan  deskriptif  dengan pendekatan kualitatif Informan kunci dalam penelitian ini  adalah  Ketua, sekretaris dan pengangkut sampah TPS3R Flamboyan; Sedangkan informan pendukung yaitu penduduk RW 020 sebagai anggota bank sampah atau pemilik rumah yang dilayani bank sampah.  Teknik pengumpulan data dalam penelitian ini menggunakan interview (wawancara) dan dokumentasi. Hasil  penelitian ini menunjukkan bahwa tujuan dibentuknya program bank sampah dan Tempat Pengelolaan  Sampah   Reduce, Reuse, Recycle TPS3R adalah mengurangi beban pengolahan sampah Di TPA dengan mengurangi timbulan sampah dari sumbernya kenyataanya belum berjalan maksimal. Banyak bank sampah maupun TPS3R hanya menjadi lokasi penumpukan atau hanya sebagai tempat transit sampah, hanya dibuang ke TPA tidak ada proses pengolahan maupun pemilahan sampah. Setiap harinya penyumbang sampah terbanyak adalah sampah organik yaitu sampah sisa makanan yang kemudian diolah menjadi kompos dan beberapa komoditas lainnya dari hasil olahan sampah. Ksm Flamboyan memilki dua unit kendaraan bermotor pengakut sampah, mulai pukul 08:00-10;00 para petugas mengambil sampah dari rumah ke rumah setelah diambil sampah akan dipilahdi TPS3RR Flamboyan. Hasil kompos akan dibagi kepada masyarakat untuk pupuk tanaman dan bahan rongsokan akan dijual kembali kepada pengepul.