bluuebunny/crossref_metadata_2025 huggingface dataset:
Menakar Efektivitas Dakwah di Lokalisasi Pasar Kembang Yogyakarta dengan Pendekatan Model Matematika
Authors: Maryono Maryono , Musthofa Muhammad Wakhid
Published: August 2023

Mengajak kepada kebaikan merupakan ajaran agama yang mulia. Meskipun demikian keberhasilan ajakan tersebut bukanlah sesuatu yang mudah. Apalagi mengajak pertaubatan kepada orang-orang yang memiliki profesi yang tidak biasa yakni pekerja seks komersial (PSK). Pendekatan model matematika mampu menyingkap sejauhmana efektifitas dakwah di lokalisasi Pasar Kembang yang sekarang ini berlangsung. Menurut data Dinas Sosial, PSK di Pasar Kembang saat ini berjumlah 260 orang. Pendekatan dakwah dan regulasi pemerintah yang ada saat ini ternyata kurang efektif untuk mengurangi jumlah PSK. Berdasarkan perhitungan model matematika yang kami buat, prostitusi di Pasar Kembang tidak akan berakhir, dengan estimasi PSK pada tahun 2239 dan seterusnya masih berjumlah 114 orang. Dengan demikian dapat diartikan pendekatan dakwah yang berlangsung saat ini di Pasar Kembang membutuhkan koreksi. Hal ini merupakan peringatan bagi para dai untuk merubah strategi dakwahnya di lokalisasi Pasar Kembang.
Automatic Construction the Russian Corpus of Verbal Government
Authors: Klyshinsky Eduard Stanislavovich , Geneeva Veronika Aleksandrovna , Klykova Elizaveta Aleksandrovna , Vasina Olesya Igorevna , Bogdanova Anna Evgenievna , Karpik Olesya Vladimirovna
Published: August 2023

This paper presents further development of the Russian Verb Co-occurrences Corpus. The first version of the corpus was improved using a variety of methods, including the application of frequency thresholds to filter out irrelevant information, identification of parenthetical expressions, adoption of a semantics-based approach to differentiate between arguments and adjuncts, and the clustering of verbs based on their semantic frames.
Educação Escolar Quilombola e Ensino de História nos caminhos abertos pela Lei 10.639/03
Authors: Meinerz Carla Beatriz , Silva Paulo Sérgio da
Published: August 2023

O artigo analisa as confluências entre Educação das Relações Étnico-Raciais e Educação Escolar Quilombola, considerando o entrecruzo com o Ensino de História um compromisso a ser consolidado em práticas educativas associadas aos movimentos sociais, escolares e acadêmicos. Apresentam-se conclusões de investigação com abordagem qualitativa ancorada na pesquisa-ação colaborativa, problematizadas a partir das categorias saberes sintéticos e saberes orgânicos, cunhadas por Antônio Bispo dos Santos. A partir da crítica acerca da escassa ênfase dada àeducação em perspectiva quilombola, observa-se que os conhecimentos sobre os quilombos são basicamente trabalhados na disciplina de História ou em datas comemorativas vinculadas àConsciência Negra. Reivindica-se uma história quilombista e escrita por mãos negras, em consonância com Beatriz Nascimento.
Adsorption of Ammonia in Wastewater Using Hyacinth (Eichornia Crassipes) Powder with The Assistance of Bio Balls
Authors: Nurdin M. Ilham , Sukasri Arifah , Damayanti Jeanne Dewi
Published: August 2023

Abstract. Water pollution can be caused by the discharge of domestic wastewater containing contaminants. Ammonia is a water pollutant that has a bad impact because it can cause an unpleasant pungent odor and can inhibit or stop the growth of aquatic organisms because it interferes with oxygen binding, changes pH and affects enzymatic reactions and membrane stability in aquatic organisms. This research treats domestic wastewater contaminated with ammonia by means of adsorption using water hyacinth powder. In order to reduce ammonia contaminants in domestic wastewater. This study used a quantitative method which included the acclimatization stage, preliminary test, water hyacinth powder production, adsorption process, ammonia content analysis. The results showed that the use of water hyacinth powder in the most efficient adsorption process was 8 grams of water hyacinth powder and 60 bioballs in 10 liters of wastewater with a decrease in ammonia content of 93.47% for 24 hours. With the bioremediation process ratio, the ammonia content in wastewater can be reduced from 4.810 ppm to 0.314 ppm.

 

Keywords:

Adsorption, Domestic Wastewater, Ammonia, Water Hyacinth Powder
Development of interactive e-books in tissue culture learning for class xi science
Authors: Mellisa Mellisa , Saputri Delma
Published: August 2023

The learning media used in schools is in the form of books. In addition, the media used by schools contains material that is not yet specific and not yet interactive, so it is necessary to develop media that suits needs, such as interactive e-books. This study aims to produce an interactive e-book learning media on the tissue culture sub-material on the structure and function of tissues in plants that are valid. This development research uses the ADDIE development model whose implementation reaches the third stage, namely Analysis, Design, and Development. This interactive e-book was created using the Flip PDF Corporate Edition application. The sampling technique used in this research is random sampling. The sample used in the study was 45 students of class XI IPA SMA. The data collection instruments used were validation sheets and validated student response questionnaires. Data collection was carried out using student and teacher response questionnaires. Product validation uses validation sheets carried out by material, media, and learning experts. Data were analyzed using the analytical technique of the scale method with a modified Likert scale. The average product validation test results obtained a percentage of 91.62% with a very valid interpretation. The developed learning media also received good responses from students in three schools with an average percentage of 79.75% with good interpretation. So it can be concluded that the developed interactive e-book learning media is very valid for use in learning. Further research is needed to develop and test the effectiveness of media in the learning process
The development of rubi web (rumah biologi web) in biodiversity concept
Authors: Istiana Yunvida , Mahrawi Mahrawi , Wahyuni Indria , Ratnasari Dwi
Published: August 2023

This study aims to develop a web-based learning media, namely RUBI WEB (Rumah Biologi Web) in the concept of biodiversity. The research method used in this research is a modified development research method from Borg & Gall (2003) whose stages consist of information gathering, planning, product development, and initial field trials.  Aspects of the assessment of the material assessed include aspects of material and aspects of language, then aspects of media assessment that are assessed include aspects of software engineering, aspects of instructional design, and aspects of visual communication. The results of the material feasibility test by material experts obtained a percentage value of 80% and media feasibility tests by media experts obtained a percentage value of 83.4%. The results of the user response test by students obtained a percentage value of 86. Therefore, it can be interpreted that the RUBI WEB website learning media in the concept of biodiversity is included in the grade A+ category with a range of percentile ratings between 96-100%, best imaginable adjectives category, acceptable level of acceptance, and NPS (Net Promotore Score) in class promoter, i.e. users are satisfied and loyal to RUBI WEB media, so that they can make users want to recommend this media to others
Распространение вариантов вируса SARS-COV-2, вызывающих интерес (VOI) и субвариантов Omicron, находящихся под наблюдением (VUM), на основе количества их геномов, депонированных в базу данных GISAID за неделю с 19.08.2023 г. по 25.08.2023 г.
Authors: Зимирова Анастасия , Краснов Ярослав , Чумачкова Елена , Дмитриева Людмила , Осина Наталья , Иванова Александра , Карнаухов Игорь , Караваева Татьяна , Щербакова Светлана , Кутырев Владимир
Published: August 2023

В обзоре представлена информация по циркулирующим в настоящее время вариантам вируса SARS-COV-2 вызывающих интерес (VOI) и субвариантов Omicron, находящихся под наблюдением (VUM), геномные последовательности которых размещены в международной базе данных GISAID за неделю с 19.08.2023 г. по 25.08.2023 г.
Strategi Survival Dalam Mempertahankan Eksistensi Warung Sate Blendet Di Balong Kabupaten Ponorogo
Authors: Elsy Rozim Pratiwi  , Ajeng Wahyuni
Published: August 2023

This research aims to identify and analyze the constraints of Sate Blendet traders in running a business, the survival strategy used by Sate Blendet traders to maintain their existence, and the results of implementing strategies used by Sate Blendet traders. The object of this study is the State Blendet trader in Balong, Ponorogo Regency. The method used in this research is descriptive qualitative, is field research, and uses interview techniques. The results of the study concluded that the business constraints of Sate Blendet traders in running a business were when raw materials were scarce, or those commonly used were not available, production was long when raw materials increased, the traders reduced the size of the satay, technological stuttering, less able to develop business, product availability, and service—not keeping clean. In terms of survival strategy, all variables have been fully fulfilled with the theory of business survival strategy. They start from access to raw materials, production, value, promotional capabilities, limited market, business opportunities, product availability, and services. The results of implementing the business strategy on Sate Blendet traders have been successful, starting from access and raw materials used, faster, more efficient production, saving time and energy, from service successfully maintaining consumer loyalty, increasing consumers, and increasing sales. This study contributes to developing the concept of an in-depth study of survival strategies in maintaining the existence of Sate Blendet traders in Balong, Ponorogo Regency.
Kepuasan Pengguna Jasa Pada Kualitas Pelayanan KBIHU Al Mabrur Multazam Banyuwangi
Authors: Nur Roikhatul Jannah  , Husna Ni’matul Ulya
Published: August 2023

The enthusiasm of Muslims in Indonesia in carrying out Hajj from year to year has significantly increased the number of pilgrims. It is recorded that the number of pilgrims who will depart in 2023 is 221,000 people, consisting of 203,320 regular quota pilgrims and 17,680 special quota pilgrims. From the data details, the existence of KBIHU (Hajj and Umrah Guidance Group) Al Mabrur Multazam Banyuwangi is needed to create pilgrim satisfaction from the quality of services provided. This study uses a qualitative descriptive method, where writing provides an overview and presents data using interviews, observation, and research documentation techniques. The results of the research can be concluded that, in general, the quality of Hajj and Umrah services provided by KBIHU Al Mabrur Multazam Banyuwangi has been carried out well because it carries out the dimensions of service quality, namely Compliance with Islamic Sharia (Sharia Compliance), Assurance (Assurance), Reliability (Reliability), Physical Evidence (Tangible), Attention (Empathy), and Responsiveness (Responsiveness). However, it is necessary to add mentors to provide maximum service and positively impact service quality on pilgrim satisfaction.
Efektivitas Pelatihan dan Pengembangan Dalam Meningkatkan Kualitas Sumber Daya Manusia di LKP Saraswati Ponorogo
Authors: Firza Ulynuha Amalia  , Yulia Anggraini
Published: August 2023

Along with the times, competition between organizations is getting tougher. As a competitor, every organization wants to be the best of other organizations. This situation will require every organization to measure the organization's operations or programs, known as effectiveness. Holding a training and development program is hoped to maintain and increase the effectiveness of the organization in achieving its goals. The purpose of this study was to analyze the effectiveness and impact of implementing training and development programs in improving the quality of human resources at LKP Saraswati Ponorogo. This study uses a type of field research with a qualitative approach. Data collection was done through interviews and observation. Data processing techniques are used by exposing, sorting, and drawing conclusions. Data analysis techniques include reduction, presentation, and conclusions. They are checking the validity of the data using triangulation techniques. The resource persons in this study were leaders from LKP Saraswati, administration, and training participants. The results of this study indicate that the implementation of training and development programs at the Saraswati Ponorogo Course and Training Institute to improve the quality of human resources has been quite effective. However, using time is less effective because some still need to finish their training period. The impact of the results of the implementation of this training and development program in terms of the knowledge of the participants has increased, and the abilities possessed by the participants have also increased, but there are still skills that could be improved.
Assessment of geoecological factors and conditions affecting sustainability of agricultural land use in the forest-steppe zone of Altai Krai
Authors:   Seifullin Kazakh Agro Technical Research University, NURPEISOV Madi , RUCHKINA Kristina ,   National Research Tomsk State University, ANDROKHANOV Vladimir ,   Institute of Soil Science and Agro Chemistry SB RAS, MAKENOVA Saule ,   Seifullin Kazakh Agro Technical Research University
Published: August 2023

The purpose of the study: analysis of geoecological factors and conditions affecting the sustainability of agricultural land use in the forest-steppe zone of the Altai Krai and its assessment. Research methods: System analysis (landscape analysis) was used in the study of geoecological factors and conditions affecting the landscapes of the study area. The methodological basis of the study was the work of Russian and foreign scientists who at different times studied the problems of climate, soil formation, sustainable development and food security. Monographic, statistical, cartographic methods, methods of GIS technologies and modeling were used in the analysis of areas and land types of the object under study. Research results. The author's approach presented in the paper allows at the local level (land use of an agricultural organization or municipal district) to assess the impact of geoecological factors and conditions on the sustainability of an agricultural territory. On the example of a typical territory for the agrarian regions of the south of Western Siberia and Northern Kazakhstan with an area of about 3000 km2, located in the forest-steppe zone of the Altai Krai, an assessment was made of physiographic, climatic, geomorphological, soil conditions, natural and anthropogenic factors. 11 assessment indicators were identified, which clearly showed the limiting impacts on agricultural landscapes, manifested in the territory in the form of erosion processes that reduce the efficiency of agricultural production. The established regularities of the influence of geoecological conditions and factors make it possible to differentiate the development of a complex of agro-, phytoforestry and reclamation measures aimed at achieving the ecological and economic balance of the territory and, as a result, increase the stability of agrolandscapes at the local level. Conclusions. 1. An algorithm for assessing geoecological conditions and factors at the local level of organization of agricultural land use has been determined to analyze its sustainability. 2. The assessment of the agrarian territory revealed the limiting impacts on the relief, geological structure of the area, soil condition, microclimate of the natural environment, structure, quality of land and other conditions and factors. Limiting impacts on agricultural land use are expressed in the manifestation of erosion processes, high land intensity and low environmental sustainability of the territory, which affects the efficiency of land use. 3. The results of scientific research can be used in the management of land resources at the level of a municipal district and an agricultural organization.
Control of the operational properties of powder materials to increase the corrosion resistance and wear resistance of parts
Authors:   Moscow Polytechnic University, SHARIPZYANOVA Gyuzel , EREMEEVA Zhanna ,   Moscow Polytechnic University
Published: August 2023

Introduction. One of the vibration methods for processing loose finely dispersed mineral raw materials is the sepIntroduction. The quality of powder materials made of rare metals is ensured by chemical-thermal treatment, including diffusion chromosilidation. Chemical and thermal treatment of products intensifies the process of diffusion saturation, reduces the processing time and allows the use of products in aggressive and abrasive environments. Methods and materials of research. Systematization, generalization and analysis of theoretical, laboratory and experimental studies, the basis of which is the modeling of processes. Research results. It was found that when using low-alloyed powder, higher strength and viscosity indices of chromosilicated materials were obtained. It is determined that the mechanical properties of powders processed from molten salts are higher than those of materials from powder filling. It is shown that the treatment increases the corrosion resistance of iron-based powders with an established corrosion rate less than the initial one. Discussion of research results. The rapid formation of an oxide film that protects the metal from corrosion is facilitated by quenching and normalization. Porous chromosilicated layers are destroyed and impair the ability of the material to resist corrosion destruction. The operational properties of chromosilicated powders obtained by hot stamping methods increase when using rational parameters of the technological process in an optimal mode. Conclusion. The article contains new proposals for managing the properties of materials to increase corrosion resistance and wear resistance of children. Conclusions on the article. New developments can be recommended for implementation in the production of rare metals and products made from them. Suggestions. The results of the research can be used both in the modernization of production and in the training of specialists in this field.
Analysis of yam starch and its application in synthesis of NiO nanoparticles using simple green method
Authors: Egu Samuel Attah , Maji D. C. , Idih O. S. , Omale A.
Published: August 2023

Herein, green synthesis of starch-reduced nickel oxide nanoparticles (SNiONPs) is reported. The synthesis involved the use of nickel chloride hexahydrate as a nickel precursor, starch as a reducing and capping agent and water as a solvent. By differing the reaction time, the evolution of growth of the SNiONPs was investigated. The starch and the nanoparticles were characterized using UV–Vis absorption spectroscopy, FTIR, XRD, SEM, XRF, and EDS, and the starch was studied for proximate composition. The absorption maxima of the as-synthesized materials at different reaction times showed characteristic Ni LSPR peaks. The capping of the nanoparticles was verified using FTIR, XRF and EDS analysis, and the particle size was determined using the Scherrer equation. SEM images of the starch showed oval- to egg-shaped particles, while SEM images of the nanoparticles showed dispersed oval-shaped material. The sensitivity of the SNiONPs indicated possible sensitivity in a linear response over a concentration range of 1–6 M H2O2.
Artificial Intelligence-enabled Chest X-ray DetectsOsteoporosis with Bone Mineral Density and identifies the mortality events
Authors: Tsai Dung-Jang , Lin Chin , Lin Chin-Sheng , Lee Chia-Cheng , Wang Chih-Hung , Fang Wen-Hui
Published: August 2023

SUMMARY
A deep learning model was developed to identify osteoporosis from chest X-ray features with high accuracy in internal and external validation. It has significant prognostic implications, identifying individuals at higher risk of all-cause mortality. This AI-enabled chest X-ray strategy may function as an early detection screening tool for osteoporosis.
OBJECTIVE
The aim of this study was to develop a deep learning model (DLM) to identify osteoporosis via chest X-ray features and investigate the performance and clinical implications.
METHOD
This study collected 48,353 CXRs with the corresponding T score according to DXA from the academic medical center. Among these, 35,633 CXRs were used to identify CXR-OP. Another 12,720 CXRs were used to validate the performance, which was evaluated by the area under the receiver operating characteristic curve (AUC). Furthermore, CXR-OP was tested to assess the long-term risks of mortality, which were evaluated by Kaplan‒Meier survival analysis and the Cox proportional hazards model.
RESULTS
The DLM utilizing CXR achieved AUCs of 0.930 and 0.892 during internal and external validation, respectively. The group that underwent DXA with CXR-OP had a higher risk of all-cause mortality (hazard ratio [HR] 2.59, 95% CI: 1.83–3.67), and those classified as CXR-OP in the group without DXA also had higher all-cause mortality (HR: 1.67, 95% CI: 1.61–1.72) in the internal validation set. The external validation set produced similar results.
CONCLUSION
Our DLM uses chest X-rays for early detection of osteoporosis, aiding physicians to identify those at risk. It has significant prognostic implications, improving life quality and reducing mortality. AI-enabled CXR strategy may serve as a screening tool.
Hermite Broad-Learning Recurrent Neural Control with Adaptive Learning Rate for Nonlinear Systems
Authors: Hsu Chun-Fei , Chen Bo-Rui
Published: August 2023

Although conventional control systems are simple and widely used, they may not be effective for complex and uncertain systems. This study proposes a Hermite broad-learning recurrent neural network (HBRNN) to address such challenges. The HBRNN has a wide network structure and incorporates an internal feedback loop that enables fast learning and dynamic mapping. Furthermore, a Hermite broad-learning recurrent neural control (HBRNC) with the HBRNN as the main controller is proposed. All the network parameters of the HBRNN are updated online according to parameter learning laws through the gradient descent approach. To prevent network parameter overtraining of the HBRNN, an adaptive learning rate (ALR) is established using a discrete-type Lyapunov function to determine the least upper bound for the learning rate. The ALR can dynamically adjust the learning rates within specified ranges during the training process, thus achieving an appropriate balance between convergence speed and system stability. Finally, the HBRNC system with ALR is applied to a chaotic circuit and a reaction wheel pendulum, and its effectiveness is validated through simulation and experimentation.
Breast cancer patient’s postoperative outcomes in nipple-sparing mastectomy and reconstruction with subpectoral implant placement: a single center experience
Authors: De Luca Alessandro , Amabile Maria Ida , Frusone Federico , Tripodi Domenico , Costanzo Maria Ludovica , Torre Giuseppe La , Marcasciano Marco , Torto Federico Lo , Vergine Massimo , Monti Massimo , Ribuffo Diego
Published: August 2023

Background: The continuous increase in the rate of nipple sparing mastectomy (NSM), the development of several reconstructive techniques and the following introduction of acellular derma matrix (ADM) has revolutionized implant-based breast reconstruction. This study aimed to investigate postoperative complications, health-related QoL and patient’s satisfaction in patients undergoing NSM and breast reconstruction with or without ADM
Methods: Enrolled patients were divided into three groups: immediate breast reconstruction (IBR) with definitive breast implant and ADM (Group A), IBR only with definitive breast implant (Group B), and two-stage breast reconstruction (Group C). The postoperative complications and BREAST-Q outcomes were compared.
Results: A total of 105 BC patients were enrolled and a total of 139 post-mastectomy breast reconstructions were performed. Seroma was the most prevalent complication observed: 8% in Group A, 3% in Group B and 6% in Group C. Postoperative infection occurred in two patients of Group A (5,5%), one patient of Group B (3%) and one of Group C (3%). Group A patients reported larger drain volume (1125 ± 243.5 cc), longer drain period (13.2 ± 2.8 days), and the lowest incidence of capsular contracture (5.6%). The BREAST-Q patient-reported outcome measures document that all patients aged ≥50 years presented a higher score in “Satisfaction with breast” (beta:5.198; p<0.001) and “satisfaction with outcome” domains (beta:5.421; p<0.05). Performing a bilateral breast reconstruction was associated to higher scores in “Physical Wellbeing Chest domain” (beta:3.278; p<0.05). In addition patients in Group A and Group B reported higher score in “Satisfaction with the breast” domain (p<0.001) but only in Group B we reported a higher score in “Satisfaction with outcome” (p<0.001).
Conclusion: Subpectoral IBR results in manageable complications and greater personal satisfaction. The ADM could improve breast reconstruction reducing the rate of capsular contracture. The pre pectoral placement of ADM could minimize complications and optimize aesthetic results.
Graph neural network recommendation algorithm based on improved dual tower model
Authors: He Qiang , Li Xinkai , Cai Biao
Published: August 2023

The information explosion is strongly impacting recommendation systems. The dual tower neural network model can quickly filter and score tens of millions of items in the recall phase and assemble them into a ranking recommendation. This model has attracted considerable interest from researchers and industry. However, the user and item towers operate independently in the dual tower model, so it cannot interact with information features, and its recommendation accuracy is less-than-optimal. The application of graph neural networks to recommendation systems has developed rapidly, enabling item recommendation through a high-order learning mechanism based on feature interaction between user information and item information. This paper proposes an interactive higher-order dual tower recommendation algorithm, the Interactive Higher-order Dual Tower (IHDT) model. Our model is based on an interactive learning mechanism, which combines the user's feature information into the item encoder and the item’s feature information into the user encoder simultaneously. The resulting higher-order interaction connectivity of graph neural networks is used to obtain a better representation of users and items. Finally, the model algorithm is compared with a benchmark algorithm on four public evaluation indicators on a public dataset. The experimental results show that the model performance is superior to other algorithms. The dataset file of this paper used is available at https://pan.baidu.com/s/1AEh-XNP_nJhxqrKuK0CgeA, with password: a2b4
Multi-criteria decision-making tool for investigating the feasibility of the green roof systems in Egypt.
Authors: Desouki Mahmoud , Madkour Mai , Abdeen Ahmed , Elboshy Bahaa
Published: August 2023

Urbanization in Egyptian cities detracts from green spaces, which reduces the per capita ratio to lower the appropriate rates, which increases the different negative environmental effects such as heat island, air pollution, and energy consumption. In addition, different social and human comfort issues have been affected. In this context, building rooftops is a potential solution that could reduce the effect of green space area reduction and have multiple evidence-based benefits. The green roof has different environmental, economic, and social benefits. Consequently, numerous governmental and private initiatives have recently appeared to spread the rooftop greening concept in Egypt. These initiatives have adopted several planting systems, such as soil-based, Deep-Water Culture, and Nutrient Film Technique systems. This paper aims to study the commonly used systems and compare them in terms of environmental and economic factors. The paper introduces a tool that could help to choose the most suitable system according to their needs and tendencies. Different methodologies have been conducted to estimate the value of factors for different systems, including literature review, expert opinion collection, market survey, and energy simulation. Also, the Analytical Hierarchy Processes methodology has been proposed to weigh the different factors in reaching a final user decision. A python code has been conducted to establish the tool and published online to be available for different decision makers and researchers.
Propolis Fluoride Inhibits Streptococcus mutans and Veillonella parvula Dual- species Biofilm Growth and alters Gene Expression
Authors: Theodorea Citra Fragrantia , Hendrawan Devin , Diven Saint , Utami Nastiti Rilo , Soekanto Sri Angky , Soedarsono Nurtami , Darwita Risqa Rina , Djais Ariadna Adisattya
Published: August 2023

Background
Propolis fluoride 10% (PPF) was developed to arrest and prevent caries, with inhibitory effects on a single species of bacteria. However, no study has been conducted on the effectiveness of PPF in inhibiting multispecies biofilms, particularly early colonizers. This study aimed to investigate the effects of PPF on Streptococcus mutans and Veillonella parvula (Sm-Vp) dual-species biofilm growth and gene expression.
Methods
Biofilms were prepared using the 96-well method with 1, 3, and 6 h incubation, and 30% silver diamine fluoride was used as the positive control. Crystal violet assay and total plate counting (TPC) were performed to analyze inhibitory effects. An inverted microscope was used to analyze the formed structure. RNA was extracted from the samples for cDNA synthesis and standardized using a Qubit fluorometer for reverse-transcription quantitative-polymerase chain reaction. The target genes used in this study were NRAMP and SloR, and 16 srRNA was used as an internal control. Consequently, alterations of gene expression were quantified using Livak’s method (2^-∆∆Ct). Statistical analyses were performed using the Statistical Package for the Social Sciences software. Statistical significance was set at P < 0.05.
Results
Inverted microscopic observation showed lower aggregate formation in the treated and positive control groups, whereas large aggregates were observed in the negative control groups. The TPC and crystal violet results showed a significant difference between the control and treatment groups in the monospecies group (P < 0.05), and the lower mean was statistically significant (P < 0.05). The NRAMP and SloR/Dlg gene expressions were downregulated in PPF-treated samples.
Conclusion
The PPF-treated Sm-Vp biofilms showed lower biofilm formation and altered virulence and symbiotic-related gene expression. Therefore, PPF effectively inhibits Sm-Vp biofilm growth and prevents caries.
A lecture on sleep health improves sleep knowledge and beliefs in physical therapy students
Authors: Siengsukon Catherine F. , Glaser Allison , Nelson Eryen
Published: August 2023

Background: Challenges to integrating health promotion (including sleep health) into entry-level physical therapist curricula include lack of faculty expertise, time, and support. A lecture provided by a content expert may mitigate the challenges. The purpose of this study was to determine if a remotely provided sleep education session impacts Doctor of Physical Therapy students’ knowledge and beliefs about sleep.
Methods: Faculty shared the opportunity to participate in the study 1-3 days prior to the lecture. The survey included demographics, a sleep health knowledge question, 11 questions on “What I think about sleep as a professional”, and the 20-item Sleep Beliefs Scale. McNemar’s and paired sample t-tests determined change in knowledge and beliefs.
Results: 209 individuals (70% female, 86% Caucasian, 25.5 ± 3.4 years old) completed the pre-lecture survey, and 137 individuals completed the post-lecture survey. There was a significant increase in knowledge about sleep health (p < .001) and Sleep Beliefs Scales score (p < .001).
Conclusions: This is study demonstrated that a single remotely provided sleep education session increased DPT students’ knowledge and changed their beliefs about sleep. Future studies should determine if these positive beliefs about sleep translate into clinical practice and enhance patient outcomes.
Anodal transcranial direct current stimulation associated with aerobic exercise on the functional and physical capacity of patients with heart failure with reduced ejection fraction: ELETRIC study protocol.
Authors: Silva Vanessa Christina Costa da , Arêas Fernando Zanela da Silva , Lopes Antonio Luiz Ribeiro Boechat , Val Fernando Almeida , Costa Allyson Guimarães da , Santos Joana Colares Correa dos , Ferreira João Marcos Bemfica Barbosa , Arêas Guilherme Peixoto Tinoco
Published: August 2023

Background
The hallmark symptom of heart failure (HF) is severe exercise intolerance. Fortunately, accumulated evidence suggests that exercise programs improve physical performance, enhance autonomy in daily activities and quality of life, and reduce cardiovascular and other hospitalizations. Recently, experimental studies have explored the application of non-invasive brain stimulation techniques, especially transcranial direct current stimulation (tDCS), aiming to improve physical performance due to its ability to modulate brain functioning. The primary objective of the present study is to evaluate the effects of anodal tDCS associated with aerobic exercise on the functional capacity of patients with HF with reduced ejection fraction (HFrEF). Secondary objectives are to compare the effects of tDCS associated with aerobic exercise vs. sham-tDCS associated with aerobic exercise on cardiopulmonary exercise capacity; inflammatory cytokines; and quality of life.
Methods
This is a two-arm, prospectively registered, randomized trial with concealed allocation, double-blind, and intention-to-treat analysis. Forty-four patients with HFrEF will be recruited. The experimental group will undertake 25–30 min aerobic exercise training associated with tDCS, for 4 weeks. The control group will undergo the same aerobic exercise training, but with sham-tDCS. The primary outcome will be functional performance by the six-minute walk test. Secondary outcomes will include cardiopulmonary exercise capacity, inflammatory cytokines, and quality of life. Outcomes will be collected by a researcher blinded to group allocation at baseline (T0), and after four weeks of intervention (T1).
Discussion
Although previous studies have investigated the combined effect of tDCS on T3 area and physical performance and have suggested that tDCS could have reduced ratings of perceived exertion by affecting the activity of the insular cortex, and therefore increase exercise tolerance, this study is the first to evaluate the effects of the addition of anodal tDCS to aerobic exercise training for improving physical and functional performance, decreasing the perceived exertion, altering the quantification of inflammatory cytokines, and improving the subclinical values of the cardiopulmonary test in patients with HFrEF, which could result in an important advance in cardiac rehabilitation for patients with chronic HF.
Trial registration
Brazilian Registry of Clinical Trials (ReBEC) RBR-10w787j6. Registered 25 April, 2023, https://ensaiosclinicos.gov.br/pesquisador
Acute Post-Operative Pain Management: Practice Patterns and Treatment Challenges
Authors: Gasoma ElMuhtadi B. Y. , Mohammed Leenah M. S.
Published: August 2023

Background
Currently, surgical practice is thought to include postoperative pain management as a necessary component. Nevertheless, a lot of patients experience significant pain after surgery. The objective of the current survey was to evaluate the status of postoperative pain relief and to assess the types and routes of drugs administered for this purpose
Method
A questionnaire form was used to collect demographic data, type of surgery, anesthesia, and patient satisfaction. Assessment of pain severity was done during the interview using one of the following pain scales: verbal, numerical and visual. This was done 4 and 8 hours after surgery. Before leaving the hospital, patients who were discharged the same day as surgery underwent a single face-to-face interview.
Results
Of 258 patients, 34.3% experienced moderate to severe pain postoperatively at rest and 31.5 % on movement. No analgesics were prescribed to 7.1 % of the patients and of the remainder, a single analgesic was prescribed to 52.8%. Thyroid & minor abdominal surgery patients had the lowest pain intensity, especially in comparison to those undergoing thoracic and major abdominal surgery. Paracetamol and Diclofenac were the drugs most commonly prescribed (to 98.6 % and 41.4 % of patients respectively), most often on a regular schedule rather than on-demand.
Conclusion
Despite concerns, in some patient groups, analgesic usage may not be sufficient. However, our study indicates new factors that influence the severity of pain, such as analgesic drugs, anesthetic technique, and type of surgery. Awareness among professionals and the public is needed and a structured pain management program is crucial.
Robotic versus Electromagnetic Bronchoscopy for Pulmonary LesIon AssessmeNT: the RELIANT pragmatic randomized trial.
Authors: Paez Rafael , Lentz Robert J , Salmon Cristina , Siemann Justin K , Low See-Wei , Casey Jonathan D , Chen Heidi , Chen Sheau-Chiann , Avasarala Sameer , Shojaee Samira , Rickman Otis B , Lindsell Christopher J , Gatto Cheryl L , Rice Todd W , Maldonado Fabien
Published: August 2023

• Background: Robotic assisted bronchoscopy has recently emerged as an alternative to electromagnetic navigational bronchoscopy for the evaluation of peripheral pulmonary lesions. While robotic assisted bronchoscopy is proposed to have several advantages, such as an easier learning curve, it is unclear if it has comparable diagnostic utility as electromagnetic navigational bronchoscopy.
• Methods: Robotic versus Electromagnetic Bronchoscopy for Pulmonary LesIon AssessmeNT (RELIANT) is an investigator-initiated, single-center, open label, noninferiority, cluster randomized controlled trial conducted in two operating rooms at Vanderbilt University Medical Center. Each operating room is assigned to either robotic assisted or electromagnetic navigational bronchoscopy each morning, with each OR day considered one cluster. All patients undergoing diagnostic bronchoscopy for evaluation of a peripheral pulmonary lesion in one of the two operating rooms are eligible. Schedulers, patients and proceduralists are blinded to daily group allocations until randomization is revealed for each operating room each morning. The primary endpoint is the diagnostic yield defined as the proportion of cases yielding lesional tissue. Secondary and safety endpoints include procedure duration and procedural complications. Enrolment began on March 6, 2023, and will continue until 202 clusters have been accrued, with expected enrolment of approximately 400 patients by the time of completion in March of 2024.
• Discussion: RELIANT is a pragmatic randomized controlled trial that will compare the diagnostic yield of the two most commonly used bronchoscopic approaches for sampling peripheral pulmonary lesions. This will be the first known cluster randomized pragmatic trial in the interventional pulmonology field and the first randomized controlled trial of robotic assisted bronchoscopy.
• Trial registration: ClinicalTrials.gov registration (NCT05705544) on January 30, 2023.
Associations between school-based fluoride mouth-rinse program, medical-dental expense subsidy policy, and children's oral health in Japan: an ecological study
Authors: Yamamoto Takafumi , Kiuchi Sakura , Ishimaru Miho , Fukuda Hideki , Yokoyama Tetsuji
Published: August 2023

Background
Dental caries are a common non-communicable disease among children. As a public health measure at the prefectural level, school-based fluoride mouth-rinse (S-FMR) programs and medical/dental expense subsidy policies may reduce the incidence of dental caries and tooth loss. Prefectures focusing on promoting oral health policies may promote both, but the interaction effect of implementing both subsidy policies and S-FMR at the prefectural level on caries prevention has not yet been examined.
Methods
We conducted an ecological study using cross-sectional, prefecture-level aggregated data in Japan. Standardized beta (B) and 95% confidence intervals (CI) were calculated for the dependent variables for oral health using linear regression analyses adjusted for possible confounders such as dentist density and prefectural socioeconomic circumstances. Three dependent variables were used; the standardized claim ratio (SCR) of deciduous tooth extraction, the SCR of dental sealants, and 12-year-olds’ decayed, missing, or filled permanent teeth (DMFT). The independent variables were S-FMR and subsidy policy in three models: co-payment until children enter elementary school (n=23), no co-payment until children enter elementary school (n=7), and co-payment continuing beyond elementary school (n=17). Interaction terms were multiplied by the S-FMR and subsidy policy and entered into each model.
Results
S-FMR was not associated with the SCR of deciduous tooth extractions and dental sealants. High S-FMR utilization was associated with low DMFT (B = -0.26, 95% CI -0.46; -0.06). No co-payment until children enter elementary school was positively associated with the SCR of deciduous tooth extraction compared to co-payment until children enter elementary school (B = 0.37, 95% CI 0.05; 0.69). The subsidy policy was not associated with the SCR of dental sealants and DMFT. No interaction was found between S-FMR and the subsidy policy at all outcomes.
Conclusion
S-FMR, one of the universal approaches, was an effective strategy for maintaining oral health among children, and this association was independent of the subsidy policy on oral health.
Evaluation of ChatGPT’s responses to information needs and information seeking of dementia patients
Authors: Saeidnia Hamid Reza , Kozak Marcin , Lund Brady D. , Hassanzadeh Mohammad
Published: August 2023

Background: Many people in the advanced stages of dementia require full-time caregivers, most of whom are family members who provide informal (non-specialized) care. It is important to provide these caregivers with high-quality information to help them understand and manage the symptoms and behaviors of dementia patients. This study aims to investigate the evaluation of ChatGPT, a chatbot built using the GPT large language model,in responding to information needs and information seeking of such informal caregivers.
Methods: We identified the information needs of dementia patients based on the relevant literature (22 articles were selected from 2442 retrieved articles). From this analysis, we created a list of 31 items that describe these information needs, and used them to formulate relevant 118 questions. We then asked these questions to ChatGPT and investigated its responses. In the next phase, we asked 15 informal and 15 formal dementia-patient caregivers to analyze and evaluate these ChatGPT responses, using both quantitative (questionnaire) and qualitative (interview) approaches.
Findings: In the interviews conducted, informal caregivers were more positive towards the use of ChatGPT to obtain non-specialized information about dementia compared to formal caregivers. However, ChatGPT struggled to provide satisfactory responses to more specialized (clinical) inquiries. In the questionnaire study, informal caregivers gave higher ratings to ChatGPT's responsiveness on the 31 items describing information needs, giving an overall mean score of 3.77 (SD 0.98) out of 5; the mean score among formal caregivers was 3.13 (SD 0.65), indicating that formal caregivers showed less trust to ChatGPT's responses compared to informal caregivers.
Conclusion: ChatGPT’s responses to non-clinical information needs related to dementia patients were generally satisfactory at this stage. As this tool is still under heavy development, it holds promise for providing even higher-quality information in response to information needs, particularly when developed in collaboration with healthcare professionals. Thus, large language models such as ChatGPT can serve as valuable sources of information for informal caregivers, although they may not fully meet the needs of formal caregivers who seek specialized (clinical) answers. Nevertheless, even in its current state, ChatGPT was able to provide responses to some of the clinical questions related to dementia that were asked.
Lures change the detectability of feral cats on the arid landscape
Authors: Lohr Cheryl , Nilsson Kristen , Johnson Ashleigh , Hamilton Neil , Onus Mike , Algar Dave
Published: August 2023

Feral cats (Felis catus) are difficult to manage and harder to detect. For 20 years, we have been using an annual aerial baiting program to suppress feral cat numbers on the Matuwa National Park in Western Australia. The efficacy of this management is monitored via pre-bait and post-bait surveys of feral cat activity on sandy tracks, and at least 120 camera-traps. In 2021, we detected cats on only five occasions, despite using 130 camera-traps with an olfactory lure known as Catastrophic. In this study, we measured the detectability of feral cats at three camera-traps arrangements on Matuwa: passive cameras (n = 57), camera with the Catastrophic lure (n = 120), and cameras with a Magnum Scrape-Dripper ® (n = 63) dispersing cat urine. All 120 sites had two cameras, one with Catastrophic for comparison with data from prior surveys, plus a camera that was either passive or had a dripper. Camera-traps were active for an average of 57 days (range 55–60 days). Cats were detected by cameras with drippers 29 times more than passive cameras and six times more than Catastrophic cameras. Further, cats spent on average 2.6 seconds in front of passive cameras, 8.5 seconds in front of Catastrophic cameras, and 65.5 seconds in front of drippers. The ability to detect feral cats affects the magnitude and accuracy of abundance or occupancy estimates for cats. Therefore, our research highlights a severe weakness in current feral cat survey methodologies and any management decisions derived from that data.
Effects of Global Brand Value on Consumer’s Preference: Mediating Role of Brand Advertisement
Authors: Oh Doo Hwan , Shin Gyu Ha
Published: August 2023

This study examined the mediating effect of international brand advertisement between the corporate global brand value and preference of consumers by using the cause marketing strategy. To examine the proposed model, a questionnaire survey was developed to collect data from 315 male and female consumers who lived in Seoul and Gyeonggi area of Republic of Korea. Finally, 276 datas were used except 39 copies that were unfaithfully answered. The SPSS 21.0 and AMOS 22.0 program are used to analyze the collected data and proved the reason “Why do Consumers focus on global brand marketing?” The results of this study showed that consumers’ perception of the relevance and sustainability of corporate global brand value indicated a high correlation with corporate international brand advertisement. This proved the hierarchical structure of the value-attitude-behavior model (Homer & Kahle, 1988) emphasizing the mediating role of purchasing attitude between consumers’ purchasing value and purchasing decision behavior. Therefore, this study implies that international brand advertisement as a parameter proved to be an important brand relativity factor that regulates brand preference between consumers’ brand value judgment and brand selection.