bluuebunny/crossref_metadata_2025_split huggingface dataset:
School Nursing Practices in the Scope of Public Health Nursing Course with Undergraduate Students
Authors: Kesgin Makbule Tokur , Çağlar Songül , Zengin Seher 
Published: November 2023

Abstract
This study was to use the school health model as a framework for school nursing practices in public schools where there are no school nurses. The study evaluated school nursing practices using the “Global School Health Model” in a Public Health Nursing course at a university 2018–2019 academic year. The program was conducted with 3 lecturers and 128 nursing students in 16 schools. In school nursing practices, which lasted for a total of 14 weeks. In the vision screening, it was determined that 350 students had a decrease in distance visual acuity. A total of 262 teachers and school staff were blood pressure scanned. Health education was given to 6637 students and 276 school personnel in all schools. In schools where school nurses are not assigned, the health care services needed by students can be provided by undergraduate nursing students under the supervision of instructors.
Terahertz holographic data storage with a 3D printed phase plate
Authors: Constable Evan , Gospodaric Jan , Pimenov Andrei 
Published: November 2023

Abstract
A sub-terahertz holographic image of a two-dimensional 576-bit data code is produced using a diffractive phase-plate element. The phase plate was designed using a modified Gerchberg-Saxton iterative algorithm to encode a focused image of the data code into a phase modulation profile. The complex phase plate structure is fabricated from polylactic acid using fused deposition modeling, a common three-dimensional-printing technique. The design allows for a significantly simplified optical setup, consisting of a 0.14 THz diverging source, the holographic phase plate and a scanning detector, in co-linear alignment. The information stored in the data code is an example of a cryptography private key. Specifically, the private key for a Bitcoin wallet address. Convincing detection of the encoded information demonstrates a practical use case for terahertz holographic data storage, using a storage medium that can be fabricated with consumer-level three-dimensional-printing techniques.
Insect Sound Recognition Using MFCC and CNN
Authors: Kulkarni Atharva , Naik Vedant , Kumavat Suresh 
Published: November 2023

Abstract
Throughout the whole human history insects have been intimately related to our well being, in both positive and negative ways. For example, insects and pests consume and destroy around 40 billion USD worth of food each year. In contrast, insects pollinate at least two-thirds of all the food consumed in the world with bees alone responsible for one-third of this total. Pesticides and insecticides thus sprayed to avoid diseases transmitted through insects reach a destination other than their target species, including non-target species, air, water and soil, reducing biodiversity and threatening rare species. Thus in this project we create an alarm system based on the sound recognised by the movement, feeding and mating calls of the insects. The insects are classified into harmful and useful categories accordingly. The sound recognition is done using Convolutional Neural Network (CNN) with the input features being Mel Frequency Cepstrum Coefficients (MFCC), which consists of coefficients from frequencies scaled according to human auditory systems.. These two factors work together to produce the highest recognition rate with highest efficiency and relatively low processing power. The sound of the insect is recognised as accurately as possible by the proposed method and subsequently classified as mentioned above. The recognition rate we are aiming for is above 90\% with and the average identification time should be less than 10 seconds. Thus by classifying the sounds of the insects, the harmful insects are separated from the useful ones and appropriate action can be taken pertaining to the situation.
Prolonged disease course leads to impaired brain function in anxiety disorder: a resting state EEG study
Authors: Mou Shaoqi , Yan Shiyu , Shen Shanhong , Shuai Yibin , Li Gang , Shen Zhongxia , Ping Shen 
Published: November 2023

Abstract
Objective Anxiety disorder (AD) is a common disabling disease. The prolonged disease course may lead to impaired cognitive performance, brain function, and a bad prognosis. Few studies have examined the effect of disease course on brain function by electroencephalogram (EEG).Methods Resting-state EEG analysis was performed in 34 AD patients. The 34 patients with AD were divided into two groups according to the duration of their illness: anxious state (AS) and generalized anxiety disorder (GAD). Then, EEG features, including univariate power spectral density (PSD), fuzzy entropy (FE), and multivariable functional connectivity (FC), were extracted and compared between AS and GAD. These features were evaluated by three previously validated machine learning methods to test the accuracy of classification in AS and GAD.Results Significant decreased PSD and FE in GAD were detected compared with AS, especially in the alpha 2 band. In addition, FC analysis indicated that GAD patients’ connection between the left and right hemispheres decreased. Based on machine learning, AS and GAD are classified on a six-month criterion with the highest classification accuracy of up to 0.99 ± 0.0015.Conclusion The brain function of patients is more severely impaired in AD patients with longer illness duration. Resting-state EEG demonstrated to be a promising examination in the classification in GAD and AS using machine learning methods with better classification accuracy.
Prevalence and risk factors of sarcopenia in Chinese maintenance hemodialysis patients: a systematic review and meta-analysis
Authors: Dou jun-kai , LI LI , Yang shun-ying , Zhang Ying , Yang Liang , Liu Huan , Shi Xue-zhi 
Published: November 2023

Abstract

Background: Patients with maintenance hemodialysis often suffer from sarcopenia, but there are differences in the prevalence and risk factors of sarcopenia in some studies. The purpose of this study was to estimate the prevalence and risk factors for sarcopenia in Chinese maintenance hemodialysis (MHD) patients.
Methods: China National Knowledge Infrastructure, Wanfang, Chinese Biological Medical Database, PubMed, Web of Science, EMBASE and The Cochrane Library were searched through their inception to 11 April 2023. Cross-sectional, case-control and cohort studies published in the Chinese or English, and performed on prevalence and risk factors of sarcopenia among Chinese MHD patients. Two reviewers independently conducted data extraction and assessed the quality of the studies. The prevalence of sarcopenia and the ORs of potential associated factors were synthesized by Stata V.14.0 software.
Result Twenty-eight studies involving 6123 MHD patients were included. The overall pooled prevalence of sarcopenia in Chinese MHD patients was 29.0% (95% CI 25.0% to 32.0%). Age, BMI, dialysis duration, hs-CRP, MQSGA, upper arm circumference and gender were significantly related to sarcopenia, with the OR of 1.17 95%CI (1.10 to 1.24), 0.67 95%CI(0.56 to 0.81), 1.16 95%CI(1.08 to 1.25), 1.35 95%CI(1.14 to 1.58), 1.75 95%CI(1.37 to 2.23), 0.72 95%CI(0.65 to 0.79) and 2.63 95%CI(1.44 to 4.83), respectively.
Conclusion The overall sarcopenia among Chinese MHD patients is high. Age, dialysis duration, hs-CRP, MQSGA score, and female are possible risk factors for sarcopenia.
Characteristics and mechanism of down-flow in front of a cylindrical pier under clear-water local scour
Authors: Wang Weizheng , Wei Song , Zhu Dayong , Wang Jun , Duan Haipeng 
Published: November 2023

Abstract

Local scour of bridge piers is an important factor affecting the stability of piers and down-flow is one of the flow structures involved in local scouring, which is regarded as one of the important factors. But the characteristics and mechanism of down-flow are not yet clearly understood for lack of characteristic parameters. This paper discussed qualitatively that the pressure stress can represent the effect of down-flow, and the pressure stress was accurately measured by installing sensors on the 3D printing models which perfectly reproduces the scour hole at different times.The down-flow is investigated by analyzing the stress state and the scour hole morphology in the scour hole. The results show that the down-flow has a strong interaction with the horseshoe vortex system, which reduces the pressure stress. From the perspective of the flow structures, the water particles collide and rub with each other, producing an effect similar to energy dissipation, which weakens the impact of the down-flow and reduces the pressure stress on the surface of the riverbed. From the perspective of energy transfer, the horseshoe vortex system needs to absorb the energy carried by down-flow to develop during its formation, reducing the energy brought into sediment by down-flow, and reducing the pressure stress. Moreover, this paper found a relationship between the stress state and the tangent slope. The shear stress is an important factor in maintaining the high tangent slope. When the shear stress decreases, a phenomenon of sediment sliding deeper is found, and the tangent slope decreases rapidly. When the shear stress is stabilized, the tangent slope increases with the increase of the pressure stress, which means that the down-flow can promote the development of scour depth.
The urbanization of coastal wetlands in Buenos Aires, Argentina
Authors: Isla Federico Ignacio 
Published: November 2023

Abstract
Different coastal wetlands of Buenos Aires Province (Argentina) were already urbanised notwithstanding initiatives for a National Law declaring them as natural reserves subject to conservation. Coastal urban sprawls either at the Parana Delta or at coastal barriers demanded the drainage of these wetlands. At the delta, several isolated neighbourhoods were constructed, some of them without authorisation. The lottery proposed along the marshes of the Mar Chiquita coastal lagoon was forbidden in the past due to the floods of 1980 (Country Costa del Sol). Today, a new initiative (Lagos de Mar) has been temporarily cancelled within a trial that lasted several years. The Alfar neighbourhood was conceived during the middle of the XX century occupying another wetland (Corrientes lagoon) that was overfilled with sand dredged from the coastal dunes. The Reta coastal lagoon is becoming progressively flooded due to channels dredged at the watershed (Los Gauchos creek). Today, the neighbourhood Balneario Reta is growing at the flooding surroundings of this lagoon that receives marine water in occasion of episodic storms or exceptional high tides. Some of these villages are frequently flooded and these processes will be worse considering forecasted climatic trends.
Knowledge, Practice towards Birth Preparedness and Complication Readiness among Pregnant Women Attending Antenatal Clinic at Nyamagana Health Centre in Mwanza Tanzania
Authors: Marandu Sr. Gotfrida , Mwaiswelo Victor 
Published: November 2023

Abstract
Background:Birth preparedness and complication readiness (BPACR) is a key component of globally accepted safe motherhood programs, including those in Tanzania. BPACR helps to ensure that women deliver safely when labor begins and reduces complications during labor. The aim of the study was to assess knowledge and practice towards birth preparedness and complication readiness among pregnant women attending the antenatal clinic at Nyamagana Health Centre in Mwanza, Tanzania.
Method: This study used a quantitative cross-sectional facility-based design to assess birth preparedness among pregnant women attending an antenatal clinic in Mwanza-Tanzania. A total of 107 pregnant women were selected randomly and interviewed using a structured questionnaire. Descriptive statistics were used to generate frequencies and proportions, and the Chi-square test was used to test the association of independent and dependent variables.
Result: In this study of 107 pregnant women attending an antenatal clinic in Mwanza, Tanzania, (89.7%) of the women responded. Almost half (60%) of the women had poor knowledge of danger signs and birth preparedness, 26% had fair knowledge, and only 14% had adequate knowledge. The mean percentage of knowledge on obstetric danger signs was 42.7% during pregnancy, 42.8% during labor, and 32.3% during the postpartum period.
Conclusion: Pregnant women in Mwanza, Tanzania have low levels of knowledge about danger signs and birth preparedness. This is a concern because it can lead to delays in seeking care for pregnancy complications and childbirth emergencies. To address this problem, we need to strengthen antenatal care services and provide women with access to reliable information about danger signs and birth preparedness, training antenatal care providers to educate women on danger signs and birth preparedness.
Composition of heavy minerals in the Gulf of Guinea beach sediments
Authors: Bela victorine Ambassa , Bessa Armel Zacharie Ekoa , Armstrong-Altrin John S. , Ngueutchoua Gabriel , Sababa Elisé 
Published: November 2023

Abstract
A mineralogical survey was conducted in the Gulf of Guinea sands to assess the transport history, depositional environment, weathering conditions and, provenance. Heavy mineral assemblages are abundant in augite, followed by opaque minerals, diopside, zoisite, enstatite, tourmaline, zircon, rutile, sillimanite, garnet, apatite, hornblende, epidote, kyanite, chloritoid and staurolite. The variety of this minerals show that the sands studied come from the igneous source rocks, mainly from a metamorphic source, in particular the gneisses and basalts, which is consistent with the geology of the study area. The bulk mineralogy detected using XRD and the chemical properties obtained by SEM-EDS reveals that the sands were dominated by quartz. Nineteen microtextures were observed on heavy minerals like hornblende, chloritoid, sillimanite, garnet, augite and staurolite, which were subsequently classified as mechanical (13 features), chemical (4 features), and combined mechanical and chemical (2 features) origins. The dominance of mechanical features suggest that the grains underwent high-energy transport. The abundance of angular and subangular heavy minerals indicate distance or nearby source. The mineral composition suggests that the source rocks underwent moderate weathering. The sub-rounded and rounded heavy minerals indicate a long transport. The predominance of heavy minerals in sediments suggest that the nearby source rocks are rich in heavy minerals.
Antidepressant and Pharmacokinetic Evaluation of Self-Nanoemulsifying Drug Delivery Systems (SNEDDS) of Escitalopram
Authors: Asaad Muhammad Junaid , Majeed Abdul , Abbas Ghulam , Siddique Farhan , Iqbal Furqan Muhammad , Shah Syed Nisar Hussain , Rasool Muhammad Fawad , Ali Sidra Muhammad , Nisar Naveed , Bashir Maryam , Jardan Yousef A. Bin , Nafidi Hiba-Allah , Bourhia Mohammed 
Published: November 2023

Abstract
Escitalopram (ETP) has poor oral bioavailability due to its low water solubility, hence the goal of this work was to design and optimize a self-nano-emulsifying drug delivery system (SNEDDS). Using the results of the investigations on solubility and emulsification, a pseudo-ternary phase diagram was produced. The three main ingredients chosen for the formulation were polyethylene glycol 400 (co-surfactant), tween 80 (surfactant), and geranium oil (lipid). ETP-SNEDDS was evaluated for the size of particles and surface charge. Fourier transforms infrared spectroscopy (FTIR), differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA) were used to evaluate the chemical compatibility and thermal stability. Ex-vivo permeability, in vitro digestion, and in vitro dissolution investigations were carried out and compared with reference tablets. The bioavailability of ETP-loaded SNEDDS was evaluated in comparison to the control in Wistar rats (n = 6). With a droplet size of 145 nm, a polydispersity index of 0.120, and an emulsification period of almost one minute, the synthesized SNEDDS were thermodynamically stable. The ETP-loaded SNEDDS displayed 96% dissolution in FSSIF. The permeation investigation revealed that, in comparison to the ETP powder and reference tablet, respectively, the SNEDDS increased drug penetration by 4.2 and 3.1-folds. The enhancement of in vitro dissolution, in vitro digestion, and ex-vivo permeability was found significant (p < 0.05). In comparison to the reference, SNEDDS had Cmax and AUC increases of 5.34 and 4.71 fold, respectively. These findings suggested that the SNEDDS formulation would be a promising method for increasing the oral bioavailability and absorption of ETP.
Production of Alkaline Plasma Activated Tap Water using Different Plasma Forming Gas at Sub-Atmospheric Pressure
Authors: Rathore Vikas , Watanasit Karaket , Kaewpawong Suttirak , Srino Dhammanoon , Tamman Arlee , Boonyawan Dheerawan , Nisoa Mudtorlep 
Published: November 2023

Abstract
The present study demonstrates the successful production of alkaline plasma-activated tap water (PATW), addressing the challenge of acidity in traditional PATW for various applications. By carefully controlling the plasma-forming gases (oxygen, air, argon) and process parameters, such as PATW production at sub-atmospheric pressure, it is possible to shift the pH of acidic PATW towards the alkaline range, making it suitable for applications like agriculture, aquaculture, sterilization, wound healing, disinfection, and food preservation. The investigation involved the characterization of plasma and the identification of various plasma species/radicals. The impact of different plasma-forming gases on the pH of PATW and the concentration of reactive species in PATW was thoroughly analyzed. Plasma created using oxygen and argon led to the production of reducing or alkaline PATW, while air and air-argon mixtures resulted in an acidic or oxidizing nature. The study also discussed the stability of nitrate ions, nitrite ions, and hydrogen peroxide in PATW, shedding light on their behavior over varying plasma treatment times and plasma-forming gas. Finally, the investigation explored the effects of gas flow rates, gas pressures, water volume, and plasma discharge powers on the concentration of H2O2 in PATW, providing valuable insights into optimizing the production process.
The COL6A5-p.Glu2272* mutation induces chronic itch in mice
Authors: Rasheed Ameer Abu Bakr , Birling Marie-Christine , Lauria Giuseppe , Gaveriaux-Ruff Claire , Herault Yann 
Published: November 2023

Abstract

Pruritus is a common irritating sensation that provokes the desire to scratch. Environmental and genetic factors, altering barrier skin dysfunction, or hypersensitivity of sensory nerves, contribute to the onset of pruritus. However, the itch can become a major burden when it becomes chronic, like in neuropathic itch. The rare Collagen VI alpha 5 (COL6A5) gene variant p.Glu2272* was recently identified in two families and an independent patient with chronic neuropathic itch. These patients showed reduced COL6A5 expression in the skin and normal skin morphology. However, little progress has been made until now toward understanding the relationships between this mutation and chronic itch. Therefore, we developed the first mouse model that recapitulates COL6A5-p.Glu2272* mutation using the CRISPR-Cas technology and characterized this new mouse model. The mutant mRNA, measured by RT-ddPCR, was expressed at normal levels in dorsal root ganglia and decreased in skin. The functional exploration showed changes in the behavior of control individuals kept with mutant carriers and confirmed the effect in the mutant mice with some sex dysmorphology. Spontaneous scratching was detected in male and female mutants, with increased anxiety-like behavior in female mutants and despair-like behavior in sex-grouped mutants. These results suggest that the COL6A5-p.Glu2272* mutation found in patients contributes to chronic itch and probably induces additional behavioral changes. The COL6A5-p.Glu2272* mouse model could elucidate the pathophysiological mechanisms underlying COL6A5 role in neuropathic itch and help identify potential new therapeutic targets.
A Lightweight Public Key Encryption Scheme with Equality Test for Distributed Healthcare System
Authors: Inayat Kashif , Muslim Fahad Bin , Khan Safiullah , Kim Intae , Hwang Seong Oun 
Published: November 2023

Abstract
Most of the healthcare systems electronics medical records (EMRs) are inefficient , and innovation in this domain is slow. Recently, researchers have proposed distributed EMRs using blockchain, in which healthcare system medical data of patients is publicly available for doctors and researchers to improve health quality of patients. Patient medical data are very private information, but blockchain does not provide full anonymity to medical data in distributed EMR of health-care systems. To overcome this issue, this paper presents an application scenario of distributed healthcare record and medical network (DHRMN), in which we make blockchain fully anonymous by utilizing the equality test property of Public Key Encryption with Equality Test (PKEET). However, most existing PKEET schemes have two main issues: (1) Once a server gets the trapdoor from a user to perform equality test, then the server can perform equality test on all ciphertexts of that user without further authorization; (2) Previous schemes require significant computation cost to perform equality test because they used bilinear pairing to perform equality test. These aforementioned two issues of PKEET might lead to privacy leakage or make DHRMN slow. Therefore, this paper presents the first secure lightweight public key encryption with equality test (LW-PKEET), where each trapdoor can only be used to perform the equality test on a particular ciphertext of any user, and to improve the performance, bilinear pairing operation is not used in key generation, encryption, decryption, trapdoor or equality test procedure of the proposed scheme. Moreover, we prove that the security of our LW-PKEET scheme is one-way secure against chosen ciphertext attacks (OW-CCA) in the random oracle model (ROM) under the Computational Diffie-Hellman (CDH) assumption.
A Reliable Wideband Cooperative Spectrum Sensing Algorithm for Internet of Things
Authors: Jia Lu , Zhang Weidong , Shi Wenbing , Li Miao , Shi Yitong , Wang Wencai 
Published: November 2023

Abstract

Cognitive radio (CR) has dynamic spectrum resource management capability and is an effective way to solve the overcrowding of the Internet of Things (IoT) network spectrum. Broadband spectrum sensing plays an increasingly important role because it can simultaneously tap a large number of dynamic spectrum access opportunities. However, sensing methods based on Nyquist or sub-Nyquist sampling still have many challenges in practical applications. Aiming at the low performance of the traditional sampling scheme in the wide-band domain, and the unsatisfactory detection accuracy of the compressed spectrum sensing in the case of high sparse level, we leveraged the compressed spectrum sensing scheme based on modulated wideband converter (MWC) to reconstruct the signal support, and analyze the reasons why some missing elements always exist in the recovering procedure of support. Furthermore, a binary decision model suitable for wideband detection is established, and a distributed broadband cooperative spectrum sensing algorithm based on hard fusion is proposed to improve the overall support recovery accuracy. The simulation results show that the proposed algorithm improves the recovery probability significantly in restructuring support and shows strong robustness, which can provide reliable support for IoT network communications.