bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of the bleaching agent and adhesive system on the bond strength of the restorative material to intracoronary dentin
Authors: João Felipe Bonatto Bruniera  , Aline Evangelista Souza-Gabriel  , Melissa Andrea Marchesan
Published: August 2022

The bond strength of dentin bleached with high concentrated agents can be reestablished if the appropriate restorative material is selected. Objective: The aim of this study was to evaluate the influence of bleaching agents and adhesive system on bond strength of restorative material to intracoronary dentin. Material and methods: 60 fragments of intracoronary dentin (25 mm2) were embedded in acrylic resin and divided into 3 groups (n = 10): GI – not bleached (control), GII – 35% hydrogen peroxide (35HP), GIII – 38% hydrogen peroxide (38HP). The gel was applied for 10 min onto the dentin surface. This protocol was repeated three times at a single session. After 14 days, the groups were divided into subgroups according to the adhesive system used in the restoration: A – Self-etching (Clearfil SE Bond) and B – Total etching (Single Bond 2). The fragments were restored with Z100 Filtek resin using a bipartite matrix. After 24 h, the specimens were subjected to shear bond strength test. Data were analyzed by two-way ANOVA and Tukey test (p < 0.05). Results: The group bleached with 38HP(6.02 ± 3.95) had the highest bond strength to dentin, followed by 35HP (5.36 ± 3.54), and control group (3.11 ± 2.71) (p < 0.05), although without statistically significant differences. It was also verified a higher bond strength in the group restored with the self-etching adhesive system (6.60 ± 4.18) when compared to the total etching system (3.06 ± 1.57). Conclusion: When performing the restoration of teeth bleached with hydrogen peroxide at high concentrations (35% and 38%), self-etching adhesive system should be the first choice.
Free-hand stratification with composite resins for the closure of anterior diastema
Authors: Leonardo Fernandes da Cunha  , Thiago Majolo Valeretto  , José Mondelli  , Rodrigo Pirolo  , Carla Castiglia Gonzaga  , Adilson Yoshio Furuse  , Adilson Yoshio Furuse
Published: August 2022

Dental diastemas are common findings at dental clinics. This clinical situation produces discomfort in many patients and its solution is difficult to many professionals. Silicone guides, made from waxed casts, have been used to assist the stratification of resin composites in cases of dental diastemas. This technique, however, does not necessarily need to be used as protocol in all situations. Objective: To demonstrate the stratification technique without silicone guides. Case report:The present study reports a case of stratification technique for anterior diastemas closure without silicone guide. Conclusion: The closure of diastemas can be quickly and easily performed using composite resins without the need of previously manufacturing silicone guides.
Evaluation of the level of microbial contamination and prevalence of gram-negative non-fermentative rods in dental unit waterlines
Authors: Cinthia Regiane Kotaka  , Lourdes Botelho Garcia  , Fernanda Akemi Nakanishi Ito  , Marcel Rodrigo Fuganti  , João Carnio  , Jacinta Sanchez Pelayo
Published: August 2022

The cross infection control in dental office has received great attention from professionals and one of the critical points is the bacteriological control of water used in dental unit. Objective: To perform a microbiological evaluation of the water used in dental units, the identification of Gram-negative non-fermentative rods (GNNR) and their ability to adhere to polystyrene, and the antimicrobial activity of disinfectants on the identified strains. Material and methods: The heterotrophic bacteria count and GNNR identification were performed on water samples collected from 25 dental units (air/water syringe and reservoir). The GNNR were assessed on their capability to adhere to polystyrene and on their antimicrobial activity to the following disinfectants: sodium hypochlorite (0.06%, 0.12%, 0.25%, and 0.5%) and chlorhexidine (0.03%, 0.06%, and 0.12%). Results: 88% of the air/water syringe collected samples and 68% of the reservoir collected samples were out of the potability standards. The quantity of isolated bacteria from the reservoir was lower than from the air/water syringe in 88% of the dental units. Methylobacterium spp. was found in highest percentage (19.7%) during GNNR genus isolation. There was a weak adherence to polystyrene in 85.04% of the samples. Sodium hypochlorite at 0.25%, inactivated 100% of the GNNRs in 10 minutes, while the highest tested concentration of chlorhexidine (0.12%), inactivated 98.5% of the GNNRs. Conclusion: These results provide information on the contamination problem of dental unit waterlines (DUWL) and indicate a need for treatment of the water used in dental units. The disinfection of DUWL can be performed with sodium hypochlorite at 0.25% (half the concentration recommended in the literature). However, further studies are necessary regarding DUWL frequency disinfection.
Comparison of the sealing ability of different types of glass ionomer cements in temporary restoration
Authors: Thiago Vitelli Vasco dos Santos  , Cleber Keiti Nabeshima  , Mariana Cavatoni  , Maria Leticia Borges Britt
Published: August 2022

Glass ionomer cement has been used for temporary restoration; however, several formulations are available. Objective: The aim of this study was compare the linear leakage of different types of glass ionomer cement – R, F, N and C. Material and methods: Forty-four third molars were used and prepared with standardized class I cavity preparations. By using gutta-percha, the cavity height was standardized in 5 mm. The samples were divided into 4 experimental groups (R, N, F and C), and 2 control groups (positive – not restored, and negative – restored using resin). The teeth were waterproofed and immersed in 2% methylene blue. After 7 days, they were sectioned and the measurement of the dye leakage was performed by stereomicroscopy (40X) using a calibrated periodontal probe. Results: Data were analysed by Kruskal Wallis and Dunn tests. There was statistically significant differences (p = 0.002) between R and C, and R and N glass ionomer groups. C and N glass ionomer groups were similar. F glass ionomer group was similar to all other groups. Conclusion: It can be concluded that different types of glass ionomer formulations can influence the peripheral sealing of the restorative material. R glass ionomer was the most effective, while C and N glass ionomers were the least ones.
Persistent infection in root-filled tooth: an SEM morphological analysis after apical microsurgery
Authors: Rina Andréa Pelegrine  , Carlos Eduardo Fontana  , André Antonio Pelegrine  , Alexandre Sigrist De Martin  , Flávia Casale Abe  , Roberta Aranha de Araujo  , Carlos Eduardo da Silveira Bueno
Published: August 2022

Endodontic failure can be associated to well-conducted treatments due to microbial factors characterized by intra or extraradicular infections not eliminated during endodontic treatment. Case report: This report describes a case of persistent apical periodontitis of an asymptomatic maxillary lateral incisor endodontically retreated and subsequently subject to apical surgery. Conclusion: After SEM morphological analysis of the apical fragment, areas of cementum-dentin resorption that were probably responsible for the perpetuation of the disease process were observed.
Ayurvedic Herbal Therapies: A Review of Treatment and Management of Dementia
Authors: Srivastava Vinod , Mathur Deepali , Rout Soumyashree , Mishra Bikash Kumar , Pannu Viraaj , Anand Akshay
Published: August 2022

Dementia has been characterized by atypical neurological syndromes and several cognitive deficits, such as extended memory loss, strange behavior, unusual thinking, impaired judgment, impotence, and difficulty with daily living activities. Dementia is not a disease, but it is caused by several neurodegenerative diseases, such as Alzheimer’s, Parkinson’s, and Lewy’s bodies. Several drugs and remedies are indicated for alleviating unusual cognitive decline, but no effective pharmacological treatment regimens are available without side effects. Herbal drugs or traditional medicines like Ayurveda have been known for facilitating and corroborating the balance between mind, brain, body, and environment. Ayurvedic therapy comprises 600 herbal formulas, 250 single plant remedies, and natural and holistic health-giving treatments that relieve dementia in patients and increase vitality. Ayurvedic Rasayana herbs [rejuvenating elements] strengthen the brain cells, enhance memory, and decrease stress. The current medicine scenario in the treatment of dementia has prompted the shift in exploring the efficacy of ayurvedic medicine, its safety, and its efficiency. This review presents the literature on several herbal treatments for improving dementia symptomatology and patients’ quality of life.
Structural Correlates of Overt Sentence Reading in Mild Cognitive
Impairment and Mild-to-Moderate Alzheimer’s Disease
Authors: De Looze Céline , Dehsarvi Amir , Suleyman Narin , Crosby Lisa , Hernández Belinda , Coen Robert F. , Lawlor Brian A. , Reilly Richard B.
Published: August 2022

Background:

Overt sentence reading in mild cognitive impairment (MCI) and mild-to-moderate Alzheimer’s disease (AD) has been associated with slowness of speech, characterized by a higher number of pauses, shorter speech units and slower speech rate and attributed to reduced working memory/ attention and language capacity.

Objective:

This preliminary case-control study investigates whether the temporal organization of speech is associated with the volume of brain regions involved in overt sentence reading and explores the discriminative ability of temporal speech parameters and standard volumetric MRI measures for the classification of MCI and AD.

Method:

Individuals with MCI, mild-to-moderate AD, and healthy controls (HC) had a structural MRI scan and read aloud sentences varying in cognitive-linguistic demand (length). The association between speech features and regional brain volumes was examined by linear mixed-effect modeling. Genetic programming was used to explore the discriminative ability of temporal and MRI features.

Results:

Longer sentences, slower speech rate, higher number of pauses and shorter interpausal units were associated with reduced volumes of the reading network. Speech-based classifiers performed similarly to the MRI-based classifiers for MCI-HC (67% vs 68%) and slightly better for AD-HC (80% vs 64%) and AD-MCI (82% vs 59%). Adding the speech features to the MRI features slightly improved performance of MRI-based classification for AD-HC and MCI-HC but not HC-MCI.

Conclusion:

The temporal organization of speech in overt sentence reading reflects underlying volume reductions. It may represent a sensitive marker for early assessment of structural changes and cognitive-linguistic deficits associated with healthy aging, MCI, and AD.
In silico Study of the Proteins Involved in the Persistence of Brucella spp.
Authors: Pakzad Iraj , Kalani Behrooz Sadeghi , Asadollahi Parisa , Sadeghifard Nourkhoda , Kazemian Hossein
Published: August 2022

Background:

One of the major problems with Brucella infections is its tendency to become chronic and recurrent, providing a hindrance to the management of this infection. It has been proposed that chronicity is so much affected by a phenomenon called persistence in bacteria. Several mechanisms are involved in bacterial persistence, including the type II toxin-antitoxin system, the SOS, Oxidative , and stringent response.

Methods:

In this in silico study, these persistence mechanisms in Brucella spp. were investigated.

Results:

the structure and the interactions between modules involved in these systems were designed, and novel peptides that can interfere with some of these important mechanisms were developed.

Conclusion:

Since peptide-based therapeutics are a new and evolving field due to their ease of production, we hope that peptides developed in this study, as well as the information about the structure and interactions of modules of persistence mechanisms, can further be used to design drugs against Brucella persister cells in the hope of restraining the chronic nature of Brucellosis.
Study of Different Techniques used in WSN for Smart Mobility
Authors: Gill Ramandeep , Dubey Tarun Kumar
Published: August 2022

Background:

A Wireless Sensor Network (WSN) consists of a large number of sensor
nodes deployed randomly over an area that can sense the surrounding environment to gather some data and interconnect over a wireless channel to share the information with neighboring nodes or with
some users over the internet. WSN has a wide range of applications in the field of military, healthcare,
industry, agriculture, livestock farming, and smart cities. The pertinence of WSN in healthcare, defense, agriculture, and industry is discussed in detail in the background section of this paper.

Objective:

The objective of this paper is to examine and simulate Dijkstra’s Algorithm, Bellman
Ford’s Algorithm, and Floyd-Warshall’s Algorithm applied for routing in WSN.

Methods:

Simulation is completed on CupCarbon U-one 4.2 simulator for these algorithms to compute the shortest distance between a randomly deployed source node and a destination node in different sized networks. Simulation of the three algorithms is carried out considering the vital simulation
parameters including sensor radius, radio range, and traffic. Also, Simulation is carried out to show
the implementation of Floyd Warshall’s algorithm in the field of smart mobility.

Results:

The obtained results show that the simulation time for the calculation of the shortest route
from source to destinations for the three algorithms is the same which is also suitable for various applications of smart mobility, smart accident management, and smart traffic management.

Conclusion:

The simulation results are also examined to measure the performance of each algorithm and
its suitability in the context of WSN. The epilogue of this paper is provided in the conclusion section.
Potential Use of Artificial Intelligence in a Healthcare System
Authors: Agrawal Ojaskumar D. , Madhavi Janvi S.
Published: August 2022

Artificial Intelligence (AI) is a swiftly evolving branch of technology that has been used to
improve clinical practice, minimize errors, and boost safety and efficiency worldwide; in almost every
field. AI is used for machine-learning algorithms and techniques to replicate human cognition in the
assessment, display, and interpretation of complicated medical and healthcare data. AI is surfacing and
producing a discernible shift in the healthcare system by expanding the availability of data in
healthcare and speeding up the development of analysis tools. Additionally, AI and its applications in
healthcare have evolved and proved to be a boon. The pharmaceutical business, health services, medical institutes, and patients, not only doctors use the applications but also dermatology, echocardiography, surgery, and angiography are only a few applications. AI can improve healthcare systems without hesitation. Automating time-consuming tasks can free up clinicians' schedules so they can encounter patients. It is causing a radical shift in healthcare, attributed to the increasing availability of
healthcare data and the rapid advancement of advanced analytics. Screening, monitoring, and medical
and clinical investigations are all made easier by AI. Despite some of the obstacles and limitations that
AI faces, this new technology has enormous potential in the medical field. Regarding their reduced
size, electronic devices have become more powerful as technology has progressed. Currently, the
COVID – 19 pandemic is propelling the digital age to unprecedented heights. On multiple fronts, Machine Learning (ML), Deep Learning (DL), and Artificial Intelligence (AI) are being employed to
combat the pandemic.
Reconfiguración de sistemas de distribución con algoritmo de búsqueda tabú modificado
Authors: Ñaupari Huatuco Zocimo , Molina Rodriguez Yuri Percy , Vidal Suarez Kelly Winny , Aquino Toccas Gerardo Junior
Published: August 2022

Este articulo presenta un nuevo algoritmo para resolver el problema de reconfiguración de la red de distribución utilizando como base el algoritmo de Búsqueda Tabú. El método propuesto proporciona una forma de obtener nuevas soluciones y vecinos para el algoritmo Búsqueda Tabú con aleatoriedad controlada, diferente a lo que está disponible en la literatura. El método propuesto logra que el algoritmo produzca buenas soluciones en la mayoría de las iteraciones, realizando así un descenso suave y constante para obtener la solución final. El algoritmo busca reducir las pérdidas y mejorar el perfil de tensión en los sistemas de distribución de media tensión. Las pruebas se llevaron a cabo en dos sistemas utilizados en la literatura, el sistema de 33 barras y el de 94 barras. Los resultados de la simulación muestran que el método propuesto tiene un bajo costo computacional y obtiene hasta un 100% de soluciones óptimas en 100 ejecuciones.
Factors Causing Stock-Outs and Drug Stagnation at Pharmacy Installation of Puri Bunda Mother and Child Hospital Malang
Authors: Tri Utami Ni Nyoman Ayu , Ratri Devita Rahmani , Nuthea Merry
Published: August 2022

Hospital pharmacy service is a supporting service as well as a revenue center in a hospital. More than 90% of hospital services utilize pharmaceutical supplies, and 50% of hospital revenues originate from pharmaceutical supply management. In the Covid-19 pandemic situation, the pharmacy installation must calculate the logistics management of the medicine correctly. However, based on stocktaking in May-July at Puri Bunda Mother and Child Hospital, there were stock-outs (4.06%) and drug stagnation (2.44%) due to poor drug procurement, causing declining drug sales. This study analyzed the factors causing stock-outs and drug stagnation in the Pharmacy Installation of Puri Bunda Mother and Child Hospital. This study uses a descriptive approach with data collection methods using observations, Focus Group Discussion (FGD), and Likert-scale questionnaires to find the roots of the problems. The data were analyzed using the Fishbone Diagram and Pareto Diagram. The research subjects based on total sampling were all 12 staff of the Pharmacy Installation. The results obtained through the Fishbone Diagram were 13 root causes covering the aspects of Man, Money, Method, Machine, Material, and Environment. The priority of the root cause of stock-outs and drug stagnation in the Pharmacy Installation of Puri Bunda Mother and Child Hospital Malang is the suboptimal use of the Hospital Management Information System (HMIS). The possible solutions are conducting intensive training for Pharmacy Installation staff in using HMIS, developing HMIS related to drug procurement, as well as repairing warehouse and pharmacy installation facilities and infrastructure.
How Do Hospital Staff Cope with Covid-19 at Work? A Phenomenological Study
Authors: Febrianto Wahyu , Indriani Wiwin , Dewanto Aryo , Holipah Holipah
Published: August 2022

The Covid-19 pandemic has brought negative consequences on hospital finances, the mental health of health care workers (HCWs), and even resulted in the deaths of several health workers at Hasta Brata Hospital (HBH). This study aimed to explore the experiences of HBH's staff in dealing with the pandemic in the hospital. This research is qualitative research with a phenomenological approach. Data were collected using in-depth interviews with two of HBH's staff and then followed by the theme analysis. Hospital staff experienced job demands including emotional and physical stress at work, fear of infection, repeated conflicts with patient visitors, different mindsets among staff, increased workload, and feelings of frustration towards people who do not comply with prevention protocols. Fortunately, they had adequate job resources, ranging from the provision of personal protective equipment, nutrition improvement, and regular Covid-19 screening; update knowledge and methods of handling Covid-19; to motivational and spiritual support from HBH leaders. The staff also had strong personal resources so that they could cope with stressful work situations, feel optimistic that they could win against Covid-19, and hoped that the pandemic would end. Spiritual support embodies tawakal, an Islamic concept that gives complete surrender to God after employing maximum effort. The presence of strong job and personal resources has moderated job demands and resulted in work engagement. Tawakal is an added value for personal resources staff who finally realize that Covid-19 cannot be avoided and must be fought before surrendering entirely to God.
Development of Caesarean Section Clinical Pathway: A Lesson Learned
Authors: Sastrawan I Gede , Wardhani Viera
Published: August 2022

Although clinical pathway (CP) is aimed to ensure quality and cost, the development of CP at hospitals is primarily for administrative purposes as it is required by accreditation standards, thus causing high variations in its implementation. This study aimed to develop a clinical pathway for caesarean section and explore the problem during development and implementation test. The selection of caesarean section was based on high volume, risk, and cost. Using participatory action research, the researcher started the program by performing an implementation evaluation, literature review, and regulatory development. The evaluation identified implementation discrepancies and prolonged length of stay. Based on the evaluation and literature review results, the Professional Care Provider (PCP) in the hospital conducted discussions and made suggestions by considering available resources, current practices, and behavior. The main differences of the new clinical pathway are: 1) it is developed based on literature and current practice, and 2) it should be added with notification, explanation, inclusion and exclusion criteria, and references. Before the implementation test, the hospital provide resources, develops a standard operational procedure followed by monitoring and evaluation. Differences in the type of medication and documentation method were found, which then further discussed with all involved PCP to define the agreed solutions. Professional engagement and openness culture that embraces along the process are the main key lesson learned in addition to the understanding that CP development and implementation is a continuous learning process.
Seven Rights of Medication Administration: Nurses' Knowledge, Attitude, and Compliance
Authors: Puspitasari Shinta Dwi , Dewanto Aryo , Holipah Holipah , Muliawan Arrasyid Indra
Published: August 2022

Medication error becomes one of the main concerns in ensuring patient safety. In 2020, X Hospital reported medication error incidents. Although categorized near miss, the incidents should have been prevented. One of the methods to prevent medication errors is by applying the seven rights of medication administration. This study aimed to identify the inhibiting factors in the implementation of the seven rights of medication administration in X Hospital and obtain alternative solutions to those obstacles. This study used an analytic observational design with a cross-sectional design. Data were collected from observations and a survey. Observations and a survey through questionnaires to 20 nurses at X Hospital were made to see the implementation of the procedure. At the end of the data collection, interviews were conducted to find out the obstacles in the inpatient installation in applying the seven rights of medication administration. The results show that the main root causes of medication administration errors were the standard operating procedure (SOP) that has not been standardized and nurses' non-compliance behavior on the seven rights procedure. To resolve medication administration errors, the hospital manager should revise the SOP, conduct internal workshops, and perform scheduled supervision to the nurses.
Metabolic profiling of Kaempferia galanga leaf and rhizome extract using GC-MS
Authors: Khuntia Snehalata , Sahoo Debasis , Kar Basudeba , Sahoo Suprava
Published: August 2022

Kaempferia galanga Linn. is an endangered rhizomatous medicinal plant belonging to the Zingiberaceae family. It has evolved as an emerging industrial crop and dominates pharma as well as aroma sector. Though the extracts of this species have been extensively used in herbal medicine across the globe for the treatment of numerous diseases, but still the composition of the extract is not characterized properly. Thus, methanol extracts of K. galanga leaves and rhizomes were subjected to phytochemical screening, total phenolic content (TPC), total flavonoid content (TFC), and Gas Chromatography-Mass Spectrometry (GC-MS) to analyze the phytoconstituents. Leaf extract contained more TPC and TFC values as compared to rhizome extract. A total of eight and ten compounds were identified in the leaf and rhizome extract accounting for 61.44% and 96.97% of the total peak area respectively. Ethyl p-methoxycinnamate was found as the main constituent in rhizome extract covering 80.39% of the total area. Other important compounds like ethyl cinnamate (9.61±0.45%), pentadecane (3.12±0.2%) were also found in the rhizome extract, whereas leaf extract contained 2-(3,4-dimethoxyphenyl)-7-hydroxy-3-methoxy-4H-chromen-4-one (18.26%), 2-(3-hydroxy-4- methoxyphenyl)-3,7-dimethoxy-4H-chromen-4-one (14.01%), octamethylcyclotetrasiloxane (11.79%). The study indicated that K. galanga is a good source of phytoconstituents which can be used at the industrial level to produce pharmaceuticals, perfumes and flavouring agents.
Hypoglycemia Detection Using Hand Tremors: Home Study of Patients With Type 1 Diabetes (Preprint)
Authors: Jahromi Reza , Zahed Karim , Sasangohar Farzan , Erraguntla Madhav , Mehta Ranjana , Qaraqe Khalid
Published: August 2022

BACKGROUND

Diabetes affects millions of people worldwide and is steadily increasing. A serious condition associated with diabetes is low glucose levels (hypoglycemia). Monitoring blood glucose is usually performed by invasive methods or intrusive devices, and these devices are currently not available to all patients with diabetes. Hand tremor is a significant symptom of hypoglycemia, as nerves and muscles are powered by blood sugar. However, to our knowledge, no validated tools or algorithms exist to monitor and detect hypoglycemic events via hand tremors.

OBJECTIVE

In this paper, we propose a noninvasive method to detect hypoglycemic events based on hand tremors using accelerometer data.

METHODS

We analyzed triaxial accelerometer data from a smart watch recorded from 33 patients with type 1 diabetes for 1 month. Time and frequency domain features were extracted from acceleration signals to explore different machine learning models to classify and differentiate between hypoglycemic and nonhypoglycemic states.

RESULTS

The mean duration of the hypoglycemic state was 27.31 (SD 5.15) minutes per day for each patient. On average, patients had 1.06 (SD 0.77) hypoglycemic events per day. The ensemble learning model based on random forest, support vector machines, and k-nearest neighbors had the best performance, with a precision of 81.5% and a recall of 78.6%. The results were validated using continuous glucose monitor readings as ground truth.

CONCLUSIONS

Our results indicate that the proposed approach can be a potential tool to detect hypoglycemia and can serve as a proactive, nonintrusive alert mechanism for hypoglycemic events.
Cancer Pain Experience Through the Lens of Patients and Caregivers: Mixed Methods Social Media Study (Preprint)
Authors: Filipponi Chiara , Chichua Mariam , Masiero Marianna , Mazzoni Davide , Pravettoni Gabriella
Published: August 2022

BACKGROUND

Cancer pain represents a challenge for cancer patients and their family members. Despite progression in pain management, pain is still underreported and undertreated, and there is limited information on the related needs that patients and caregivers may have. Online platforms represent a fundamental tool for research to reveal the unmet needs of these users and their emotions outside the medical setting.

OBJECTIVE

This study aimed to (1) reveal the unmet needs of both patients and caregivers and (2) detect the emotional activation associated with cancer pain by analyzing the textual patterns of both users.

METHODS

A descriptive and quantitative analysis of qualitative data was performed in RStudio v.2022.02.3 (RStudio Team). We analyzed 679 posts (161 from caregivers and 518 from patients) published over 10 years on the “cancer” subreddit of Reddit to identify unmet needs and emotions related to cancer pain. Hierarchical clustering, and emotion and sentiment analysis were conducted.

RESULTS

The language used for describing experiences related to cancer pain and expressed needs differed between patients and caregivers. For patients (agglomerative coefficient=0.72), the large cluster labeled unmet needs included the following clusters: (1A) reported experiences, with the subclusters (a) relationship with doctors/spouse and (b) reflections on physical features; and (1B) changes observed over time, with the subclusters (a) regret and (b) progress. For caregivers (agglomerative coefficient=0.80), the main clusters were as follows: (1A) social support and (1B) reported experiences, with the subclusters (a) psychosocial challenges and (b) grief. Moreover, comparison between the 2 groups (entanglement coefficient=0.28) showed that they shared a common cluster labeled uncertainty. Regarding emotion and sentiment analysis, patients expressed a significantly higher negative sentiment than caregivers (z=−2.14; P<.001). On the contrary, caregivers expressed a higher positive sentiment compared with patients (z=−2.26; P<.001), with trust (z=−4.12; P<.001) and joy (z=−2.03; P<.001) being the most prevalent positive emotions.

CONCLUSIONS

Our study emphasized different perceptions of cancer pain in patients and caregivers. We revealed different needs and emotional activations in the 2 groups. Moreover, our study findings highlight the importance of considering caregivers in medical care. Overall, this study increases knowledge about the unmet needs and emotions of patients and caregivers, which may have important clinical implications in pain management.
Smartphone-based machine learning algorithm for cervical myelopathy screening with the 10-s grip-and-release test: a pilot study (Preprint)
Authors: Ibara Takuya , Matsui Ryota , Koyama Takafumi , Yamada Eriku , Yamamoto Akiko , Tsukamoto Kazuya , Kaburagi Hidetoshi , Nimura Akimoto , Yoshii Toshitaka , Okawa Atsushi , Saito Hideo , Sugiura Yuta , Fujita Koji
Published: August 2022

BACKGROUND

As cervical myelopathy (CM) is a progressive disease, early detection and intervention are essential for its mitigation. While several screening methods exist, they are difficult to understand for community-dwelling people, and the equipment required to set up the test environments is expensive. Thus, a simple screening system is necessary to ensure early consultation by a physician.

OBJECTIVE

This study investigated the viability of a CM screening method based on the 10-s grip-and-release test using a machine learning algorithm and a smartphone equipped with a camera.

METHODS

The group of CM patients and the control group consisted of 22 and 17 participants, respectively. A spine surgeon diagnosed the presence of CM. Patients performing the 10-s grip-and-release test were filmed, and the videos were analyzed. The probability of the presence of CM was estimated using a support vector machine algorithm, and the sensitivity, specificity, and area under the curve (AUC) were calculated. Two assessments of the correlation between estimated scores were conducted. The first used a random forest regression model and the Japanese Orthopaedic Association Cervical Myelopathy Evaluation Questionnaire (C-JOA). The second assessment used a different model, random forest regression, and the Disabilities of the Arm, Shoulder, and Hand (DASH).

RESULTS

The final classification model had a sensitivity of 90.9%, specificity of 88.2%, and AUC of 0.93. The correlations between each estimated score and the C-JOA and DASH scores were 0.79 and 0.67, respectively.

CONCLUSIONS

The proposed model could be a helpful screening tool for CM as it showed excellent performance and high usability for community-dwelling people and non-spine surgeons.
Does Education Foster Electoral Turnout? Evidence from Indonesia
Authors: Sri Rahmi Purnamasari
Published: August 2022

This study shows that nine years of compulsory education in Indonesia does not foster electoral turnout, especially during the simultaneous elections (district, presidential, and gubernatorial) in the first decade of direct elections (2004-2014). Gender, marital status, and Islam (the largest religion in Indonesia) also do not have a significant effect on electoral turnout. However, a factor that determinant to induces electoral turnout is ethnicity; the ethnic Javanese/Balinese, as the largest ethnic group in Indonesia, are more likely to participate in direct district, presidential, and gubernatorial elections than other ethnic groups. Although education does not foster electoral turnout, nine years of compulsory education does significantly affect the younger cohort, who go on to seek higher education.
UGROŽAVANJE BEZBEDNOSTI LOKALNIH ZAJEDNICA U VANREDNIM SITUACIJAMA IZAZVANIM POPLAVAMA
Authors: Cvetkovic Vladimir , Radonjic Sandra
Published: August 2022

Polazeći od sve učestalijih prirodnih i antropogenih vanrednih situacija na području Srbije, cilj naučnog istraživanja predstavlja naučna deskripcija i eksplikacija uticaja demografskih, socio-ekonomskih i psiholoških faktora na percepciju građana o nivou ugrožavanja bezbednosti lokalnih zajednica u vanrednim situacijama izazvanim poplavama. Metodom slučajnog uzorkovanja, po principu snežne grudve, anketirano je 248 punoletnih građana na području grada Beograda. Rezultati istraživanja pokazuju da ne postoji statistički značajna povezanost između pola, nivoa obrazovanja ispitanika i percepcije o različitim dimenzijama ugrožavanja bezbednosti. Nasuprot tome, utvrđeno je postojanje statistički značajne povezanosti percepcije ugrožavanja bezbednosti lokalnih zajednica sa starošću ispitanika. Sprovedeno istraživanje doprinosi unapređenju teorijskog i empirijskog fonda naučnog saznanja u oblasti upravljanja u vanrednim situacijama. Implikacije istraživanja su višestruke i one omogućavaju donosiocima odluka da osmisle, razviju i implementiraju strategije i kampanje usmerene na unapređenje bezbednosti lokalnih zajednica od posledica prirodnih vanrednih situacija.
URUŠAVANJE BEZBEDNOSTI JUGOSLAVIJE AKCIJAMA RIMOKATOLIČKE CRKVE
Authors: Janjic Jovan
Published: August 2022

Rimokatolička crkva imala je u Austro-Ugarskoj monarhiji zaštitnika i nosioca rimokatoličke vere. Zato je njen rat protiv Srbije, 1914. godine, blagoslovila, podsticala i ohrabrivala. A, samim tim, bila je protiv stvaranja jugoslovenske države delom i na etničkom prostoru južnoslovenskih naroda koji su do tada bili pod vlašću Habsburške monarhije. Ipak, prihvata realnost stvaranja jedinstvene južnoslovenske države, ali – kako se vidi iz arhivskih dokumenata koji se ovde izvorno objavljuju – svojim akcijama, posebno među školskom decom i omladinom, urušava bezbednost Jugoslavije.
Takvo delovanje Rimokatoličke crkve, međutim, izazivalo je i reakcije omladine, što se vidi i iz jednog pisma biskupa krčkog Josipa dr Srebrnića ministru prosvete Kraljevine Jugoslavije dr Radenku Stankoviću, u kojem se žali na demonstracije školske mladeži, u Krku, u Biskupskoj ulici,na navečerje proslave Dana ujedinjenja južnoslovenskih naroda, 1932.godine.
BUJANOVAČKO-PREŠEVSKA OBLAST KAO POTENCIJALNO GEOPOLITIČKO ŽARIŠTE U SRBIJI** Između nacionalne bezbednosti i projekta „Prirodna Albanija“
Authors: Glisin Vanja
Published: August 2022

Istorijski procesi i geopolitički položaj Republike Srbije uslovili su postojanje geopolitičkih žarišta na teritoriji države, što se odražava na nacionalnu bezbednost. Teritorijalne jedinice na kojima uočavamo različite oblike trajnih ili periodičnih nestabilnosti i sukoba određujemo kao geopolitičko žarište i u daljim koracima istraživanja analiziramo konfliktne potencijale na lokalnom i regionalnom nivou. Na teritoriji Republike Srbije Bujanovačko-preševska oblast predstavlja potencijalno geopolitičko žarište, gde većinski albanski predstavnici političkih vlasti u svojim političkim ciljevima ističu ideju o izdvajanju opština Bujanovac i Preševo i njihovom pripajanju tzv. Kosovu. Zbog složene geopolitičke situacije na jugu Srbije, u prvom delu rada biće određene geografske i demografske karakteristike opština. Drugi deo rada posvećen je geopolitičkoj i bezbednosnoj analizi Bujanovačko-preševske oblasti. Cilj je da se izvrši analitičan pregled važnih događaja od eskalacije sukoba devedesetih godina do danas, kako bi se na osnovu toga ukazalo na potencijalne pretnje i rizike i na kraju pružile određene geopolitičke i bezbednosne preporuke radi očuvanja nacionalne bezbednosti i teritorijalnog integriteta Republike Srbije.
Analysis of Wildfire Detection using CNN Model
Authors: V Akshatha , Sumana K R
Published: August 2022

Abstract: Forest is viewed as one of the most significant and essential asset. It is an enormous surface of region loaded up with trees, bunches of dried leaves, woods, etc. These components support the fire when it begins. The fire can be lighted through many reasons, for example, high temperature in summer seasons, smoking, or firecrackers. When fire begins, it will stay until it recognized totally. The harm and the expense for recognize firein view of wild fire can be decreased when the fire distinguished right on time as could be expected. Thus, the fire discovery is significant in this situation. There are various kinds of fire location techniques utilized by the Government specialists, for example, satellite observing, tower checking, utilizing sensors, optical cameras, etc. In any case, these strategies actually have a few disadvantages in distinguishing the beginning phase of the fire. In our project, we propose an original framework for distinguishing wildfire utilizing Convolutional Neural Networks (CNN). CNN and a classification network, named ResNet50 is used as a feature extraction network to achieve rapid and accurate extraction of image feature information.
Kombinasi Calf Raise Exercise dan Core Stability Exercise Dapat Meningkatkan Keseimbangan Tubuh pada Mahasiswa Jurusan Fisioterapi Poltekkes Kemenkes Makassar
Authors: Anjasmara Bagas , Widanti Herista Novia , Mulyadi Soffil Yudha
Published: August 2022

Kurangnya aktivitas fisik atau gaya hidup sedentary akan berpengaruh pada kemampuan tubuh, salah satunya adalah keseimbangan tubuh, sehingga menimbulkan beberapa permasalahan yang berhubungan kemampuan motorik, salah satunya adalah meningkatnya kemungkinan cedera akibat tidak terbiasanya otot dalam menahan beban yang lebih dari aktivitas yang biasanya. Untuk meningkatkan keseimbangan tubuh manusia, adalah dengan melatih otot yang berperan dalam menjaga keseimbangan tersebut. Penelitian ini bertujuan untuk mengetahui pengaruh kombinasi calf raise exercise dan core stability exercise dalam meningkatkan keseimbangan tubuh pada mahasiswa jurusan fisioterapi. Penelitian ini menggunakan metode eksperimental dengan rancangan penelitian pre and post test   design.  Para responden diarahkan untuk melakukan  calf raise exercise dan core stability exercise. Jumlah responden sebanyak 18 orang, latihan diberikan 3 kali seminggu selama 6 minggu. Pengukuran keseimbangan tubuh menggunakan standing stork test.  Hasil penelitian menunjukkan terjadi peningkatan keseimbangan dimana nilai mean diman terdapat perbedaan pada nilai pre test dan post test  serta di dapatkan nilai  p = 0,001 (p < 0,05). Kesimpulan dari penelitian ini yaitu kombinasi calf raise exercise dan core stability exercise berpengaruh dalam meningkatkan keseimbangan tubuh pada mahasiswa jurusan Fisioterapi Poltekkes Kemenkes Makassar.
Pengaruh Lingkungan Kerja dan Motivasi Terhadap Kinerja Karyawan di Kantor Dinas Sumber Daya Air Provinsi Sumatera Utara
Authors: Risal Taufiq
Published: August 2022

Tujuan penelitian ini adalah untuk mengetahui pengaruh lingkungan kerja dan motivasi terhadap kinerja karyawan di Kantor Dinas Sumber Daya Air Provinsi Sumatera Utara. Populasi dalam penelitian ini berjumlah 172 orangkaryawan. Sampel dalam penelitian ini menggunakan Stratified Random sampling yang terdiri dari 62 orang karyawan Kantor Dinas Sumber Daya Air Provinsi Sumatera Utara. Teknik data yang digunakan adalah teknik analisis metode deskriptif dan teknik analisis statistik. Metode pengumpulan data melalui wawancara, daftar pertanyaan, dan studi dokumentasi. Alasan peneliti melakukan penelitian ini dikarenakan adanya fenomena bahwa adanya masalah pencapaian kinerja karyawan yang tidak dapat mencapai target, dan adanya masalah motivasi kerja yang rendah dan masalah lingkungan kerja yang kurang baik. pengujian hipotesis dalam penelitian ini menggunakan analisis regresi linier berganda dengan nilai signifikansi α = 5% (0,05). Pada hasil penelitian menunjukkan bahwa secara serempak lingkungan kerja dan motivasi berpengaruh positif dan signifikan terhadap kinerja karyawan. Lingkungan Kerja adalah variabel yang lebih dominan berpengaruh terhadap kinerja karyawan Kantor Dinas Sumber Daya Air Provinsi Sumatera Utara. Nilai Adjusted R Square adalah sebesar 0,585 berarti 58,5% variabel kinerja dapat di jelaskan oleh variabel-variabel bebas didalam penelitian ini.
Inflación en la economía chilena
Authors: Aguirre Briones Andrés
Published: August 2022

En este análisis de coyuntura, se indaga en los precios al consumidor y la configuración de mercado en las secciones de procesamiento y comercialización minorista moderna de la cadena de valor del rubro de alimentos y bebidas chileno. Con fines comparativos, se incorporan diversos aspectos constitutivos de este segmento de la manufactura en el mercado hispano. En el primer apartado, se presentan una variedad de indicadores económicos recientes para ambos países, junto a la evolución comparada del índice de precios al consumidor de alimentos y bebidas, y el índice de precios agrícolas de la FAO. Posteriormente, se profundiza en la estructura de los mercados de procesamiento y distribución de consumo masivo de alimentos, presentando las cuotas y los niveles de concentración, además de calcular y comparar los índices de ventas sectoriales para ambos países. Por último, se calcula el índice de los beneficios operacionales (Ebitda) y los resultados recientes de dos unidades líderes y representativas de la distribución minorista de supermercados chilena y española. De este modo, se observa que los divergentes desempeños empresariales detectados, se entrelazan con unos disímiles niveles de precios y estructuras de mercado.
Conducta, cooperación y desempeño innovador en pequeñas y medianas empresas industriales en Argentina (2014-2016)
Authors: Pasciaroni Carolina
Published: August 2022

En base a información estadística reciente y partiendo de la relevancia del conocimiento externo sobre el desempeño innovador de las firmas, el objetivo de este trabajo consiste en caracterizar la conducta y el desempeño innovador de las pequeñas y medianas empresas (PYMES) del sector manufacturero en Argentina, con especial énfasis, en los vínculos de cooperación que se establecen con socios comerciales y/o académicos para la obtención de resultados innovadores. El análisis propuesto, de alcance descriptivo, se centra en la comparación del perfil innovador de PYMES y grandes empresas, así como también, en la descripción de tal perfil entre las PYMES que se vinculan con distintos socios durante su proceso de innovación. Los resultados encontrados se centran en la prevalencia de rasgos reseñados en estudios previos; la existencia de diferencias estadísticamente significativas en la conducta y desempeño innovador de acuerdo al tamaño de las firmas; y el comportamiento innovador diferencial de las PYMES que se vinculan.
Silver Complexes of N-Heterocyclic Carbenes as Anticancer Agents: A Review
Authors: B. Aher Sainath , R. Inamdar Poonam , Kulkarni Mrunalini , V. Puri Makarand , Parekh Srushti , Bendre Vasudev
Published: August 2022

This review covers the explanation of all the biological efficiencies of the N-Heterocyclic Carbenes (NHCs). Most of the reviews of NHCs focused on its chemical and physical applications, we have noted the properties, types and applications of metal complexes of NHCS. Our principle aim is to throw a light on the biological applications of the complexes. N heterocyclic carbenes (NHC) have been discovered in the 90's and have been marking an important place in organic chemistry. NHCs contain divalent carbon atoms. It is bound to at least one nitrogen atom. Presence of heteroatoms imparts them a wide range of electronic behavior. They create stable bonds and compounds making them excellent ligands in coordination chemistry. Silver metal complexes of organic ligands had been an interesting research area for the pharmaceutical researchers. Because of the electron donating ability of NHCs, the formation of Ag metal complexes had been pursued by many inorganic chemists and they were evaluated for various biological activities. Thus, in this review we have listed out the Ag-NHCs which have anticancer potential and its use as cytotoxic therapeutic agents. This article concludes with the basic concept that, how to design efficient Ag-NHCs in order to develop efficient, biologically active metal complex derivatives.
Families' Acceptance, Concerns and Obstacles Towards COVID-19 Vaccine Among Children in Saudi Arabia: A Cross Sectional Survey
Authors: Almatrafi Lamya Abdullah , Fagieha Refal Essam , Simsim Mohammed Abdulmuti , Falemban Alaa H. , Alsanosi Safaa M. , Bukhary Deena , -Hindi Yosra AL
Published: August 2022

While coronavirus disease 2019 has become a pandemic, the necessity of vaccination is crucial. Early 2020, scientists across the world started their vaccine trials to fight the pandemic. More than 46 million doses of a COVID-19 vaccines have been administered in Saudi Arabia. However, vaccine hesitancy, especially from parents towards their children can be an obstacle. As the parents can be hesitant, they can refuse or deny to vaccinate their children. Our aim is to investigate families' acceptance, concerns, and obstacles related to COVID-19 vaccine among children in Saudi Arabia. Cross-sectional study was conducted from January to April 2022. An online form questionnaire composed of 15 questions was distributed electronically. Our results showed a total of 250 respondents were included in the analysis, of which 78% were female and 22% male aged between 21 to 78 years old. 88% had a university education and 40% was received 3 doses of COVID vaccine, 55.5% received two doses of vaccine, 4% received only one dose and 1% not vaccinated. 64% of parents do not support their children receiving the Corona vaccine, while 36% are supportive of it. This study revealed that many parents were hesitant to give immunity against SARS-CoV-2 to their children. Further educational programs and influence from the social media for parents and community is essential to fight this hesitancy.Â