bluuebunny/crossref_metadata_2025 huggingface dataset:
FİZYOTERAPİ ÖĞRENCİLERİNİN MESLEĞE VE EĞİTİME YÖNELİK TUTUMLARININ UMUTSUZLUK DÜZEYİ VE MESLEKİ KAYGIYA ETKİSİ: AFYONKARAHİSAR SAĞLIK BİLİMLERİ ÜNİVERSİTESİ ÖRNEĞİ
Authors: Taşvuran Horata Emel , Taşkın Gülşen
Published: August 2024

Amaç: Bu çalışma fizyoterapi öğrencilerinin mesleğine ve eğitimine yönelik tutumunun umutsuzluk ve mesleki kaygı düzeyine etkisinin incelenmesini amaçlamaktadır.
Yöntem: Kesitsel prospektif çalışmada çevrimiçi anket uygulandı. Fizyoterapi Öğrencilerinin Mesleğine ve Eğitimine Yönelik Tutum Anketi, Mesleki Kaygı Anketi ve Beck Umutsuzluk Ölçeği kullanıldı. Değişkenler arasındaki korelasyonu değerlendirmek için Pearson korelasyon analizi kullanıldı. Mesleğe ve eğitime yönelik tutumun mesleki kaygı ve umutsuzluk düzeyine etkisi basit doğrusal regresyon analizi ile incelendi.
Sonuçlar: Toplam 397 öğrenci katıldı. Katılımcıların yaş ortalaması 21,36±2,57 yıl, %32,20’si (n=128) üçüncü sınıf ve %58,40’ı (n=232) normal öğretimdi. Öğrencilerin %59,4’ü (n=236) mesleğine ve eğitimine karşı olumlu tutum içindeydi (toplam puan ortalaması=85,65±11,70). Mesleki kaygı düzeyi %10,8’nde (n=43) hafif, %68,0’inde (n=270) orta ve %20,9’unda (n=83) yüksekti. Öğrencilerin %35,3’ü (n=140) umutlu, %31,7’si (n=126) hafif umutsuz, %23,4’ü (n=93) orta seviyede umutsuz ve %9,6’sı (n=38) ileri derecede umutsuzdu. Tüm öğrencilerin ortalama mesleki kaygısı orta (58,07±12,13) ve umutsuzlukları hafif (6,65±5,01) düzeydeydi. Fizyoterapist öğrencilerin mesleğine ve eğitime yönelik tutumu ile mesleki kaygı (r=-0,552) ve umutsuzluk düzeyleri (r=-0,447) arasında negatif ve orta düzeyde bir ilişki vardı (p
TOTAL DİZ PROTEZİ CERRAHİSİ SONRASI TELE-REHABİLİTASYON PROGRAMININ ETKİLERİNİN ARAŞTIRILMASI: RANDOMİZE KONTROLLÜ ÇALIŞMA
Authors: Fırat Neslihan , Bek Nilgün , Kaya Aşkın Deniz , Bozkurt Murat
Published: August 2024

Amaç: Çalışmamızın amacı; total diz protezi (TDP) cerrahisi sonrası tele-rehabilitasyon programı (TR-FTR) ve yüz yüze fizik tedavi ve rehabilitasyon programı (YY-FTR) alan bireylerde uygulanan protokolleri fiziksel ve fonksiyonel parametreler açısından karşılaştırmak ve tele-rehabilitasyon (TR) hizmeti alanların bu hizmetten memnuniyetlerini değerlendirmekti.
Yöntem: TDP cerrahisi geçirmiş 37 birey randomize olarak TR-FTR ve YY-FTR grubu olacak şekilde ikiye ayrıldı. Çalışmaya dahil olan bireylerin diz eklem hareket açıklığı (D-EHA) universal gonyometre ile; fiziksel performansları “Zamanlı Kalk ve Yürü Testi”, “6 Dakika Yürüme Testi”, “5 Tekrarlı Otur-Kalk Testi” ile; fonksiyonellikleri “Western Ontario ve McMaster Üniversiteleri Osteoartrit İndeksi” (WOMAC) ile, egzersiz programına uyumu ise “Egzersize Uyum Derecelendirme Ölçeği” ile değerlendirildi. TR-FTR’ye katılanlara “Tele-Sağlık Kullanılabilirlik Anketi” ve “Tele-Tıp Memnuniyet Anketi” uygulandı. Her iki gruba uygulanan testler ve anketler yüz yüze olarak yapıldı.
Sonuçlar: Her iki grubun da tedavi sonrası D-EHA aktif ve pasif ölçümlerinde (pasif diz ekstansiyonu hariç) (p
PHYSIOTHERAPY IN DOGS WITH HIP OSTEOARTHRITIS – EFFECTS ON PAIN, MUSCLE AND LAMENESS: A RANDOMISED CONTROLLED TRIAL
Authors: Altınkaya Neyran , Kavlak Erdoğan , Özgencil Fatma Eser , Çağatay Soner
Published: August 2024

Purpose: The aim of this study was to investigate the effectiveness of a physiotherapy programme in dogs with hip osteoarthritis (OA).
Methods: 20 dogs with hip OA were included in the four-weeks study. The dogs were randomly divided into two groups as physiotherapy group (PTG) and control group (CG). Hyaluronic acid (HA) was injected into the hip joint of dogs in PTG and CG. The physiotherapy programme in PTG consisted of massage, electrophysical modalities and exercises. Primer assessments were pain intensity, muscle mass and lameness scores. Pain assessment was performed with Simple Pain Rating Score (0-4). Muscle mass was measured by thigh circumference measurement and lameness was measured by scoring system (0-5).
Results: At the end of the study, pain intensity (p=0.006) and lameness scores (p=0.005, p=0.006) were decreased and muscle mass was increased in the PTG (p=0.012). In addition, between group comparisons showed that all changes were statistically improved in the PTG compared to the CG (p=0.042, p=0.010, p=0.028, p=0.015).
Conclusion: We think that the "HA + physiotherapy" programme used in our study is more effective than "HA alone" in reducing pain and increasing muscle mass. Therefore, we can say that physiotherapy programmes are beneficial and safe in the treatment of dogs with OA. Physiotherapy programmes can be used to prevent the development of muscle atrophy and lameness, especially from the early stages of the disease.
EFFECT OF COVID-19 ON PAIN, FALL FREQUENCY, FEAR OF FALLING, AND PHYSICAL ACTIVITY LEVEL IN OLDER PEOPLE: A CROSS-SECTIONAL STUDY
Authors: Gür Ozan , Başar Selda
Published: August 2024

Purpose: People who have recovered from COVID-19 may experience a range of symptoms. These symptoms are linked to negative changes in pain, falls, fear of falling, and physical activity. The current study aimed to investigate the effect of COVID-19 on pain, fall frequency, fear of falling, and physical activity level in older people, as well as identify associated factors with these variables.
Methods: Participants were divided into two groups for this cross-sectional study: COVID-19 (n=48) and healthy control (n=66). Pain, number of falls, fear of falling, and physical activity level of the participants were assessed. Multiple linear regression analysis was also used to identify factors associated with these variables. Participants were also asked about their demographics, illnesses, post-COVID-19 symptoms, smoking habits, who they lived with, how long they had been infected with COVID-19, hospitalization due to COVID-19, and the doses of the vaccine.
Results: Pain, fatigue, and cognitive impairment were found to be significantly more prevalent in the COVID-19 group (p=0.001, p=0.021, p=0.011, respectively). When compared to the control group, the COVID-19 group showed worse results in terms of pain intensity, the number of falls, fear of falling, and physical activity level (p=0.009, p=0.030, p=0.005, p
UPPER EXTREMITY SELECTIVE VOLUNTARY MOTOR CONTROL IN CHILDREN WITH UNILATERAL CEREBRAL PALSY AND ITS ASSOCIATION WITH UPPER EXTREMITY FUNCTIONS
Authors: Yıldız Ayşe , Yıldız Ramazan , Elbasan Bülent
Published: August 2024

Purpose: The study aimed to define the upper extremity selective voluntary motor control (SVMC) in children with unilateral Cerebral Palsy (CP). It was also aimed to investigate the relationship between upper extremity SVMC and upper extremity functions.
Methods: Twenty-four children diagnosed with unilateral CP, aged between 6 and 18, were included in the study. The Quality of Upper Extremity Skills Test (QUEST) assessed the upper extremity functions. Manual dexterity was measured using the Jebsen-Taylor Hand Function Test (JTT) timed tasks. The SVMC of the upper extremity was measured using the Selective Control of Upper Extremity Scale (SCUES) using the videotape recording method.
Results: Statistically significant decreases in SCUES scores from shoulder to fingers were recorded using the Page statistical test for trend (p
THE EFFECT OF TRUNK STABILITY TRAINING ON UPPER EXTREMITY ENDURANCE, STABILITY AND SHOULDER JOINT PROPRIOCEPTION IN POSTMENOPAUSAL WOMEN
Authors: Sezerel Buse , Yüksel İnci
Published: August 2024

Purpose: The incidence of shoulder pathologies is increasing in postmenopausal women. In this period, there is a need for protective approaches to be applied to prevent shoulder injuries. The aim of this study is to investigate the effects of clinical pilates exercises on upper extremity stability, endurance, function and shoulder joint proprioception in postmenopausal women.
Methods: 30 postmenopausal women between the ages of 40-60 were included in our study. Participants were given clinical pilates training for 6 weeks, 3 days a week, 60 minutes by a physiotherapist. Before and after pilates training, dynamic stability of the shoulder was evaluated with Closed Kinetic Chain Upper Extremity Stability Test (CKCUES Test) and Upper Quarter Y Balance Test (UQYBT). Upper extremity muscle endurance was evaluated with the modified push up test. Laser Pointer-Assisted Angle Reproduction Test (LP-ART) was used to evaluate shoulder joint position sense.
Results: A statistically significant difference was found in CKCUES Test (p=0.000, r=0.594), UQYBT (p=0.000, r=0.537), modified push up (p=0.000, r=0.594), LP-ART abduction (p=0.000, r= 0.491) and LP-ART flexion (p=0.000, r=0.484) at end of the training compared to the pre-training. The exercise program was found to be highly effective on all parameters. Conclusion: It was concluded that clinical pilates training applied in postmenopausal women increased the dynamic stability of the shoulder, endurance and position sense. Trunk stabilization exercises may be beneficial as a preventive approach in the prevention of shoulder pathologies in postmenopausal women.
INVESTIGATION OF THE EFFECT OF AN ONLINE YOGA-BASED EXERCISE PROGRAM ON WOMEN WITH PRIMARY DYSMENORRHEA: A RANDOMIZED CONTROLLED TRIAL
Authors: Şaşmaz Yaren , Aras Bayram Gülay
Published: August 2024

Purpose: It was aimed to investigate the effects of telerehabilitation method and online yoga-based exercise program on pain, menstrual attitude, body awareness and quality of life in women with primary dysmenorrhea (PD).
Methods: This study is an experimental randomized controlled single-blind study. Fifty women (25 in the intervention group, and 25 in the control group) between the ages of 18-35 were included in the study. At the beginning of the study, both groups were given informational training on PD and treatment methods. In addition to informational training, an online yoga-based exercise program was applied individually to the intervention group, twice a week for 8 weeks, for a total of 16 sessions. Visual analog scale (VAS), menstrual attitude scale (MAS), body awareness questionnaire (BAQ), short form-36 (SF-36), and satisfaction questionnaire were used for data collection.
Results: The VAS score of the intervention group decreased from 6.76 to 3.76 points. VAS (p
Does the presence of anemia have an impact on physical functions in patients treated with hematopoietic stem cell transplantation?
Authors: Yıldız Kabak Vesile , Atasavun Uysal Songul , Aladağ Elifcan , Göker Hakan , Düger Tülin
Published: August 2024

Purpose: Anemia has been found as an independent factor that may influence physical functions in patients with hematological malignancy. We aimed to determine impact of anemia on physical functions in patients treated with hematopoietic stem cell transplantation (HSCT).
Methods: A total of 82 patients treated with HSCT were retrospectively analyzed. The presence of anemia was determined in accordance with the WHO standard. Physical examinations were included fatigue, hand grip and peripheral muscle strength, functional performance, and activities of daily living (ADL). We compared recorded variables between patients with and without anemia. Additionally, impact of transplantation type and duration since HSCT on our results were analyzed.
Results: Patients with anemia had significantly poorer quadriceps femoris muscle strength, functional performance, and ADL level than patients without anemia (p=0.025, p=0.001, and p=0.009, respectively). Additionally, the duration since HSCT were adjusted in two groups, there was still significant difference in functional performance and ADL between patients with and without anemia (p˂0.05).
Conclusion: The presence of anemia in patient treated with HSCT have negative impact on muscle strength, functional performance, and ADL level. Health care professionals should be aware that patients with anemia may have functional problems.
TURKISH VALIDITY AND RELIABILITY OF THE POUND SATISFACTION SCALE IN STROKE PATIENTS UNDERGOING REHABILITATION
Authors: Mete Emel , Sarı Zubeyir
Published: August 2024

Purpose: This study aimed to evaluate the Turkish validity and reliability of the Pound Satisfaction Scale (PSS).
Methods: For the adaptation of the PSS to Turkish (PSS-Tr), the translation and back-translation process was carried out by following the international guidelines. Confirmatory factor analysis (CFA) was performed to measure structural validity. The relationship between PSS-Tr and the Patient Satisfaction Scale in Physiotherapy (PSSP) and the SF-36 was assessed for construct validity. Convergent validity was evaluated computing by the Average Variance Extracted (AVE). Cronbach's alpha coefficient and Composite reliability (CR) for internal consistency of the PSS-Tr and Bland-Altman plot and test-retest reliability analysis for temporal consistency were used.
Results: The study included 130 stroke patients. The fit index values of the CFA showed that the structural validity of the PSS-Tr was appropriate (χ2/sd=1.779, RMSEA=0.075, GFI=0.911, AGFI=0.853, CFI=0.955, NFI=0.905). A high correlation was found between the PSS-Tr total score and the PSSP (p=0.001, r=0.672). A moderate correlation was found between the hospital satisfaction sub-dimension of PSS-Tr, and the sub-dimensions of SF-36 (p=0.001, r=0.484-0.609), while a low correlation was found between the home satisfaction sub-dimension of the PSS-Tr and the physical functioning (p=0.002, r=0.266) and physical role (p=0.035, r=0.180) sub-dimensions of SF-36. And also the PSS-Tr was found to have good internal (Cronbach alpha= 0.895, CR=0.94) and temporal consistency (ICC = 0.976).
Conclusion: The Turkish version of the Pound Satisfaction Scale (PSS-Tr) is reliable and valid. The PSS-Tr may be useful for clinicians and researchers in assessing satisfaction with rehabilitation in stroke patients.
Spatiotemporal variation characteristics of precipitation and urbanization effects in Shenzhen from 1960 to 2019
Authors: Shang Shouwei , Wang Yintang , Chen Xinyi , Cui Tingting , Pan Chaofan
Published: August 2024

To explore the evolution of precipitation in megacities under changing environments and human activities, Shenzhen was chosen as the study area. Using daily precipitation data from 10 stations (1960–2019), the TFPW-MK and EOF methods analyzed the spatiotemporal characteristics of precipitation. The findings are: (a) Precipitation in Shenzhen shows a slight upward trend with spatial variations. Western stations exhibit a downward trend. The oscillation period of precipitation indicators is about 10–20 years, with an abrupt change in 1991. (b) Different precipitation indicators have similar distribution patterns. The first mode shows global consistency, indicating overall high or low precipitation, and a shift in the precipitation center from northwest (before 1990) to southeast (after 1990). The second mode shows an “East-West” reverse distribution. (c) Urbanization significantly affects precipitation distribution and has an enhancing effect on precipitation. The smaller the time scale, the stronger the effect of urbanization on extreme precipitation.
Artificial neural network and response surface methodology for modeling oil content in produced water from an Iraqi oil field
Authors: Alardhi Saja Mohsen , Jabbar Noor Mohsen , Breig Sura Jasem Mohammed , Hadi Ahmed Abdulrazzaq , Salman Ali Dawood , Al Saedi Laith Majeed , Khadium Maytham Khalaf , Showeel Hamza Abbas , Malak Haydar Muhamad , Mohammed Malik M. , Le Phuoc-Cuong
Published: August 2024

The majority of the environmental outputs from gas refineries are oily wastewater. This research reveals a novel combination of response surface methodology and artificial neural network to optimize and model oil content concentration in the oily wastewater. Response surface methodology based on central composite design shows a highly significant linear model with P value <0.0001 and determination coefficient R2 equal to 0.747, R adjusted was 0.706, and R predicted 0.643. In addition from analysis of variance flow highly effective parameters from other and optimization results verification revealed minimum oily content with 8.5 ± 0.7 ppm when initial oil content 991 ppm, temperature 46.4 °C, pressure 21 Mpa, and flowrate 27,000 m3/day which is nearly closed to suggested oily content 8.5 ppm. An artificial neural network (ANN) technique was employed in this study to estimate the oil content in the treatment process. An artificial neural network model was remarkably accurate at simulating the process under investigation. A low mean squared error (MSE) and relative error (RE) equal to 1.55 × 10−7 and 2.5, respectively, were obtained during the training phase, whilst the testing results demonstrated a high coefficient of determination (R2) equal to 0.99.
Coupling coordination relationship and influencing factors between green water use efficiency and new urbanization in the Huaihe River Ecological Economic Belt, China
Authors: Ma Wei , Wang Xinmin , Zhang Yalin
Published: August 2024

Promoting the coordinated symbiosis of green water-use efficiency (GWUE) and new urbanization (NU) performs a vital function in facilitating high-quality development in China. Based on the panel data of 28 cities in the Huaihe River Ecological Economic Belt (HREEB) from 2011 to 2020, this study first evaluates GWUE and NU, and then uncovers their spatio-temporal evolutionary characteristics. On this basis, the coupling coordination degree (CCD) model, ordinary panel model, and spatial econometric model are used to analyze evolution pattern and driving factors of CCD between GWUE and NU. The results show that: (1) GWUE exhibits a modest downward trend, with the lower reaches being much higher than the middle and upper reaches. (2) NU has increased overall by 43.65%, showing a northeastern high and a southwesterly low spatial distribution. (3) CCD is rising, with the high-value areas mainly distribute in the Yangzhou–Taizhou region and the Southern Shandong region, while the low-value areas concentrate in the middle and upper reaches. (4) The spatial econometric model analysis shows that industrial structure, technological level, and water resource management contribute significantly directly to the CCD, but the spillover effects are markedly different.
Understanding water dynamics in Dal Lake: a comprehensive analysis of physiological parameters and seasonal variations
Authors: Sultan Seerat , Singh Shruti , Kumar Rajesh , Malik Showkat A. , Sheikh Javaid Hassan , Sudershan Amrit
Published: August 2024

Maintaining the standard of water quality in an aquatic habitat necessitates continual assessment of its physicochemical properties. The purpose of this study was to evaluate physicochemical properties and to discuss the causes of spatiotemporal variability in key physicochemical parameters at five different locations of Dal Lake. Water samples were collected in four seasons for 3 years (i.e., January 2019–December 2021) to evaluate various physicochemical properties using standard methods. The analysis shows that the macrophytic development has increased due to organic and inorganic load, leading to the Lake's deterioration. The analysis indicates positive and negative correlations among various parameters across five sampling sites. Principal component analysis shows that two components (PC1 and PC2) explain 47.35, 47.54, and 48.11% of the variability in the years 2019, 2020, and 2021, respectively. From 2019 to 2021, the continuous decrease in dissolved oxygen and increased levels of magnesium, conductivity, alkalinity, total hardness, calcium hardness, total phosphorus, and nitrate-nitrogen suggest a trend toward eutrophication in the lake.
Numerical simulation of pressure loss and flow characteristics in combined elbow pipes for solid–liquid two-phase flow
Authors: Shi Xi , Chai Yuanyuan , Chen Hui , Tao Hu , Jin Qianwen
Published: August 2024

The transport of solid–liquid two-phase flow is widely used in water conservancy, environmental protection, and municipal engineering. Accurate pressure loss calculation is crucial for hydraulic transport pipelines, particularly in the case of bends, valves, and other deformation parts. These factors directly impact the energy consumption and the investment of the system. This paper employed the Euler–Euler multiphase flow model to investigate the characteristics of solid–liquid two-phase flow in vertically positioned combined elbows. The model was initially validated using data from the literature. Subsequently, based on the validated model, an investigation was conducted to determine the relationship between pressure loss and various factors, including flow velocity, combined angle, particle concentration, and particle size. Finally, the changes in velocity distribution, particle concentration, and turbulent kinetic energy were analyzed. The results indicate that the pressure loss increases with the flow velocity, tends to decrease with the combined angle, and increases with the particle concentration. The relationship between pressure loss and particle size is more complex. The velocity distribution, particle concentration, and turbulent kinetic energy exhibit the variations caused by different factors.
Optimizing intermittent micro-aeration as a strategy for enhancing aniline anaerobic biodegradation: kinetic, ecotoxicity, and microbial community dynamics analyses
Authors: Câmara Isabelle , Ventura de Souza Victor , Brasileiro Vidal Ana Christina , Soares Fernandes Bruna , Magalhães Amaral Fernanda , Motteran Fabrício , Gavazza Savia
Published: August 2024

Groundwater and soil contamination by aromatic amines (AAs), used in the production of polymers, plastics, and pesticides, often results from improper waste disposal and accidental leaks. These compounds are resistant to anaerobic degradation; however, micro-aeration can enhance this process by promoting microbial interactions. In batch assays, anaerobic degradation of aniline (0.14 mM), a model AA, was tested under three micro-aeration conditions: T30, T15, and T10 (30, 15, and 10 min of micro-aeration every 2 h, respectively). Aniline degradation occurred in all conditions, producing both aerobic (catechol) and anaerobic (benzoic acid) byproducts. The main genera involved in T30 and T15 were Comamonas, Clostridium, Longilinea, Petrimonas, Phenylobacterium, Pseudoxanthomonas, and Thiobacillus. In contrast, in T10 were Pseudomonas, Delftia, Leucobacter, and Thermomonas. While T30 and T15 promoted microbial cooperation for anaerobic degradation and facultative respiration, T10 resulted in a competitive environment due to dominance and oxygen scarcity. Despite aniline degradation in 9.4 h under T10, this condition was toxic to Allium cepa seeds and exhibited cytogenotoxic effects. Therefore, T15 emerged as the optimal condition, effectively promoting anaerobic degradation without accumulating toxic byproducts. Intermittent micro-aeration emerges as a promising strategy for enhancing the anaerobic degradation of AA-contaminated effluents.
Machine Learning Meets Physics-based Modeling: A Mass-spring System to Predict Protein-ligand Binding Affinity
Authors: Filgueira de Azevedo Walter
Published: August 2024

Background:

Computational assessment of the energetics of protein-ligand
complexes is a challenge in the early stages of drug discovery. Previous comparative
studies on computational methods to calculate the binding affinity showed that targeted
scoring functions outperform universal models.

Objective:

The goal here is to review the application of a simple physics-based model to
estimate the binding. The focus is on a mass-spring system developed to predict binding
affinity against cyclin-dependent kinase.

Method:

Publications in PubMed were searched to find mass-spring models to predict
binding affinity. Crystal structures of cyclin-dependent kinases found in the protein data
bank and two web servers to calculate affinity based on the atomic coordinates were employed.

Results:

One recent study showed how a simple physics-based scoring function (named
Taba) could contribute to the analysis of protein-ligand interactions. Taba methodology
outperforms robust physics-based models implemented in docking programs such as
AutoDock4 and Molegro Virtual Docker. Predictive metrics of 27 scoring functions and
energy terms highlight the superior performance of the Taba scoring function for cyclin-
dependent kinase.

Conclusion:

The recent progress of machine learning methods and the availability of these
techniques through free libraries boosted the development of more accurate models
to address protein-ligand interactions. Combining a naïve mass-spring system with
machine-learning techniques generated a targeted scoring function with superior predictive
performance to estimate pKi.
Prescription Precision: A Comprehensive Review of Intelligent Prescription Systems
Authors: Tantray Junaid , Patel Akhilesh , Wani Shahid Nazir , Kosey Sourabh , Prajapati Bhupendra G.
Published: August 2024

:

Intelligent Prescription Systems (IPS) represent a promising frontier in healthcare, offering the potential
to optimize medication selection, dosing, and monitoring tailored to individual patient needs. This comprehensive
review explores the current landscape of IPS, encompassing various technological approaches, applications,
benefits, and challenges. IPS leverages advanced computational algorithms, machine learning techniques,
and big data analytics to analyze patient-specific factors, such as medical history, genetic makeup, biomarkers,
and lifestyle variables. By integrating this information with evidence-based guidelines, clinical decision
support systems, and real-time patient data, IPS generates personalized treatment recommendations that
enhance therapeutic outcomes while minimizing adverse effects and drug interactions. Key components of IPS
include predictive modeling, drug-drug interaction detection, adverse event prediction, dose optimization, and
medication adherence monitoring. These systems offer clinicians invaluable decision-support tools to navigate
the complexities of medication management, particularly in the context of polypharmacy and chronic disease
management. While IPS holds immense promise for improving patient care and reducing healthcare costs, several
challenges must be addressed. These include data privacy and security concerns, interoperability issues, integration
with existing electronic health record systems, and clinician adoption barriers. Additionally, the regulatory
landscape surrounding IPS requires clarification to ensure compliance with evolving healthcare regulations.
Despite these challenges, the rapid advancements in artificial intelligence, data analytics, and digital
health technologies are driving the continued evolution and adoption of IPS. As precision medicine gains momentum,
IPS is poised to play a central role in revolutionizing medication management, ultimately leading to
more effective, personalized, and patient-centric healthcare delivery.
Green Synthesis of Silver Nanoparticles from Syzygium cumini (L.) Skeels
Seed Extract and their Potential Medicinal Applications
Authors: Kavital Apsara , B. Hiremath Murigendra , Vernekar Ritesh , S. Goudar Pradeep
Published: August 2024

aims:

To synthesize silver nanoparticles from Syzygium cumini (L.) Skeels seed extract and their potential medicinal applications

background:

Nanotechnology is considered as one of the fastest developing area in biomedicine field. The green synthesis provides more eco-friendly and cost-effective nanoparticles.

objective:

Synthesis of silver nanoparticles from Syzygium cumini (L.) Skeels seed extract and their potential medicinal applications

method:

The synthesis of silver nanoparticles form Syzygium cumini seed extract was carried out in this study. The synthesized nanoparticles were characterized by UV-Vis spectroscopy, FTIR, SEM, XRD and EDX. They were evaluated for antioxidant, anti-inflammatory, antibacterial and anti-diabetic activity by DPPH inhibition, albumin denaturation inhibition, agar well diffusion, α-amylase and α-glucosidase assays respectively.

result:

Results: The surface plasmon resonance at 430 nm confirmed the formation of silver nanoparticles. They are stable, spherical in shape with the size ranging from 30 to 90 nm. The DPPH inhibition % of silver nanoparticles varied from 7.91±0.39% to 68.35±0.76%. The % inhibition of albumin denaturation was comparable to the diclofenac. Further the results of antibacterial activity revealed that the zone of inhibition for all the test bacteria varied from 14.33±0.58 to 25.33±0.58 mm where B. cereus was more susceptible. In addition, the % inhibition of α-amylase and α-glucosidase varied from 19.91±0.15% to 61.43±0.31% and 15.26±0.11% to 55.38±0.20% respectively.

conclusion:

This study is the first attempt of utilizing the silver nanoparticles synthesized from S. cumini seed extract for anti-diabetic activity. The study suggests that these nanoparticles could be well utilized in pharmaceutical industries as an efficient antioxidant, anti-inflammatory, antibacterial and anti-diabetic drug.

other:

Key words: Antibacterial activity; Anti-diabetic activity; Anti-inflammatory activity; Antioxidant activity; Silver nanoparticles; Syzygium cumini
Design Interleaved Full Bridge Circuit DC-DC Converter With Fuel Cell Power Source On Hybrid Trains
Authors: Miftaks Taufik Iqbal , Muslim Muhammad Azis , Rusli Mochammad
Published: August 2024

Nowadays, electric trains are experiencing a transition from diesel fuel to renewable energy. Hybrid electric trains can prove progress from renewable energy, even though they require more than one energy source such as fuel cells and batteries, because renewable energy cannot stand alone. This results in an increase in voltage on the Fuel Cell (FC) which can have an impact on current density and a decrease in voltage, thus requiring a protected DC-DC Converter type circuit to obtain ideal and dynamic condition characteristics. To overcome this problem, the IFBC (Interleaved Full Bridge Circuit) DC-DC Converter is highly recommended as a voltage regulator. There are several methods used to regulate MOSFET’s which in this case affect the IFBC DC DC Converter settings, one of which is the SMC (Sliding Mode Control) method. SMC is a type of non-linear control that functions functionally to control variable structures. However, the application of SMC requires a considerable switching frequency, which has the potential to cause component loss, therefore the switching frequency needs to be limited to that range. To overcome this problem, a method is needed to identify the IFBC output voltage control process using the SMC method in Fuel Cell applications and the software which is considered the most efficient in carrying out this, namely SIMULINK MATLAB software.
Realization of the smoothness of spline trajectory configuration for avoidance of nogo areas in due time
Authors: Yuyukin I. V.
Published: August 2024

The configuration of the spline trajectory with the integration of the sleekness criterion into the optimization of the path when moving a marine mobile object in a given direction, taking into account restrictive navigational obstacles, is considered. The smoothness of the trajectory is investigated as the use of the possibility of avoidance of nogo area due to the organization of variable flexibility of the spline structure as the realization of the possibility of rapid dynamic redevelopment in case of unavailability of the initially chosen path. The understanding of intelligent path planning as effective routing is argued with the strategic compliance of the condition for the fastest possible achievement of the goal of the shortest movement in a conflict navigation environment. The phenomenon of cubic B-spline approximation is substantiated as a rational means of synthesizing a path line, since the planned trajectory can be generated in a segmented manner for different variations of the curvature of an algebraic curve based on a balanced combination of isogeometric constraints with optimal arrangement of nodes. The variable generation of the spline shape is performed by coordinating grid points with finite functions while interactive implementing the smoothing effect. It is concluded that heuristic variation of smoothing parameters makes it possible to obtain B-splines of various geometric evolution with the possibility of transforming the multi-link structure of the ship motion line without the need to form a fundamentally new route. The hypothesis of spline structures stability due to the piecewise architecture of the spline, when local violations of mathematical composition do not critically affect the overall task of modeling the trajectory configuration is put forward. The expediency of using variable simulation of a maneuverable trajectory in real time for path planning due to the operational bending of cubic B-splines in order to avoid any collisions is noted. As a demonstration of the practical applicability of constructing the optimal configuration of the spline trajectory, two different variants of the spline route in real time are designed in the form of sequential computer screenshots. The issue of providing automated route formation with synchronous representation of geometric computer support of a safe way line to the watch assistant, stimulating the possibility of intellectual assistance to the navigator in using the strategy of instantaneous adoption of an agreed decision on ship management by providing situational awareness, is actualized. The developed algorithm has been tested as a harmonized support for the navigation staff in the organization of effective routing. A hypothetical use of a planned approach for calculating the trajectory of a marine autonomous surface vessel in order to practically form the concept of unmanned navigation is proposed.
Optimization of the penetration testing process in automated process control systems using machine learning algorithms
Authors: Nyrkov A. P. , Yumasheva E. S. , Kirikov A. V.
Published: August 2024

The process of widespread implementation of automated information management systems in industry, energy and transport is studied in the paper. It is noted that an increase in their complexity inevitably leads to the emergence of various kinds of vulnerabilities in these systems, the presence of which allows attackers to penetrate automated control systems, take control of them, and also disrupt the normal operation of the technological processes they control. It is emphasized that over the past decade, successful cyber attacks have been recorded in the energy sector, including nuclear, in maritime shipping, in port transshipment complexes, as well as in other systems. A preventive approach to ensuring the security of automated control systems is to identify and exploit existing vulnerabilities by simulating possible cyber attacks. It is noted that automation of such a rather labor-intensive process as “penetration testing” allows reducing time, financial costs and other resources. The main methods for identifying vulnerabilities, including the use of artificial intelligence, have been studied. The presented approach to optimizing the penetration testing process in automated process control systems uses machine learning algorithms. Preference is given to machine learning with reinforcement, which is based on the Deep Q-learning algorithm. The integration of network scanning methods, building an attack graph and training neural networks to effectively identify vulnerabilities and risks in network infrastructures is proposed in the paper. To build an attack graph, the MITER ATT&CK knowledge base using the GBVA Framework is utilized, and the Deep Q-learning algorithm is used to select optimal actions during testing.
Development of a Video Consultation Patient-Satisfaction Questionnaire (vCare-PSQ): A Cross-Sectional Explorative Study
Authors: Larrabee Sonderlund Anders , Quirina Bang Van Sas Tessa , Wehberg Sonja , Huibers Linda , Nielsen Jesper Bo , Søndergaard Jens , Assing Hvidt Elisabeth
Published: August 2024

Background

Since the COVID-19 pandemic, the use of video consultation (VC) in primary care has expanded considerably in many countries. VC and other telehealth formats are often touted as a solution to improved health care access, with numerous studies showing high satisfaction with this care format among health professionals and patients. However, operationalization and measurement of patient satisfaction with VC varies across studies and often lacks consideration of dynamic contextual factors (eg, convenience, ease-of-use, or privacy) and doctor-patient relational variables that may influence patient satisfaction.

Objective

We aim to develop a comprehensive and evidence-based questionnaire for assessing patient satisfaction with VC in general practice.

Methods

The vCare Patient-Satisfaction Questionnaire (the vCare-PSQ) was developed according to the COSMIN (Consensus-Based Standards for the Selection of Health Measurement Instruments) guidelines. To achieve our overall objective, we pursued three aims: (1) a validation analysis of an existing patient-satisfaction scale (the PS-14), (2) an assessment of extrinsic contextual factors that may impact patient satisfaction, and (3) an assessment of pertinent intrinsic and relational satisfaction correlates (eg, health anxiety, information technology literacy, trust in the general practitioner, or convenience). For validation purposes, the questionnaire was filled out by a convenience sample of 188 Danish adults who had attended at least 1 VC.

Results

Our validation analysis of the PS-14 in a Danish population produced reliable results, indicating that the PS-14 is an appropriate measure of patient satisfaction with VC in Danish patient populations. Regressing situational and doctor-patient relational factors onto patient satisfaction further suggested that patient satisfaction is contingent on several factors not measured by the PS-14. These include information technology literacy and patient trust in the general practitioner, as well as several contextual pros and cons.

Conclusions

Supplementing the PS-14 with dynamic measures of situational and doctor-patient relational factors may provide a more comprehensive understanding of patient satisfaction with VC. The vCare-PSQ may thus contribute to an enhanced methodological approach to assessing patient satisfaction with VC. We hope that the vCare-PSQ format may be useful for future research and implementation efforts regarding VC in a general practice setting.
Using a Smartphone-Based Chatbot for Postoperative Care After Intravitreal Injection During the COVID-19 Pandemic: Retrospective Cohort Study (Preprint)
Authors: Wu Pei-Chang , Chiang Wei-Yu , Lo Jung , Lee Jong-Jer , Chen Yung-Jen , Kuo Hsi-Kung , Chiau Jie-Shin , Hsu Shu-Hui , Chen Yi-Hao
Published: August 2024

BACKGROUND

During the COVID-19 pandemic period, it was difficult to carry out regular and scheduled follow-up of patients in the outpatient department, especially during lockdown periods. However, early detection of initial infection or other serious conditions is vital for patients after ocular surgery, such as intravitreal injection (IVI) for age-related macular degeneration (AMD).

OBJECTIVE

We evaluated the use of a smartphone-based postoperative care chatbot system (PCCS) with an instant bidirectional feedback system for patients to self-report postoperative symptoms and signs.

METHODS

During the COVID-19 level 3 epidemic alert in July 2021 in Taiwan, the PCCS alerted the patients to report and grade 6 ocular symptoms and signs associated with ocular inflammation or retinal detachment. Patients used the PCCS for 7 days post surgery to assess their symptoms and signs each day after receiving an alert. Data were automatically collected using a cloud computer system, including symptom grades and messages sent to medical staff for further medical assistance. A user satisfaction questionnaire was administered to the patients on the seventh day post surgery.

RESULTS

In total, 185 patients participated in this study. There were 26 (3.03%) reports of symptom grade deterioration (including increased blurred vision, eye swelling, nausea, and floaters or flashes) from 12 (6.5%) patients. We found no difference in the gender of patients who received an early medical consultation. One case of endophthalmitis was reported, wherein an improvement was observed after prompt administration of IVI antibiotics twice. Overall, 87% (n=185) of patients were satisfied or very satisfied with communicating their symptoms instantly through the app; they were willing to use it again and believed that it could improve the quality of care. Seven of the 185 (3.8%) patients had an earlier medical consultation and 1 (0.5%) had endophthalmitis.

CONCLUSIONS

The chatbot system, designed for self-reporting postoperative symptoms and providing instant bidirectional feedback on smartphones, could be beneficial for enhancing the quality of care in early medical consultations without gender differences among patients with AMD receiving IVI, and achieved satisfactory responses from patients.
A Remote Oral Self-Care Behaviors Assessment System in Vulnerable Populations: Usability and Feasibility Study (Preprint)
Authors: LaVine Danielle , Greer Zara , Kim Jiyun , Kumar Santosh , Belin Thomas , Shetty Vivek
Published: August 2024

BACKGROUND

Preventative self-care can reduce dental disease that disproportionately burdens vulnerable populations. Personalized digital oral self-care behavioral interventions offer a promising solution. However, the success of these digital interventions depends on toothbrushing data collection e-platforms attuned to the needs and preferences of vulnerable communities.

OBJECTIVE

The aim of this study is to assess the usability and feasibility of the Remote Oral Behaviors Assessment System (ROBAS), which has been adapted to address the unique requirements of socioeconomically disadvantaged minority individuals.

METHODS

A cohort of 53 community-clinic participants, including 31 (58%) Latino and 22 (42%) Black individuals with no prior experience using electric toothbrushes, were recruited to use ROBAS, with planned assessments at baseline, 2 months, and 4 months. Beyond evaluating ROBAS’s technical performance, extensive feedback was gathered to gauge users’ experiences, viewpoints, and overall contentment. The System Usability Scale (SUS) served as a primary metric for assessing user satisfaction and acceptability.

RESULTS

ROBAS exhibited largely reliable and consistent data-gathering capabilities. SUS scores (mean 75.6, SD 14.5) reflected participant contentment within a range of values for other commonly used digital devices and technologies. Among participants who answered questions about willingness to pay for ROBAS, 97% (30/31) indicated that they were willing to pay for ROBAS either as a one-time payment or as a subscription-based service. Additionally, 87.5% of participants expressed that they would endorse it to acquaintances. Most participants expressed no reservations about privacy; among those who expressed privacy concerns (n=20, 50%), the concerns included exposure of information (n=18, 45%), monitoring of brushing habits (n=12, 30%), and collection of information (n=14, 35%), although these concerns did not significantly correlate with specific participant traits. In qualitative terms, users valued ROBAS's ability to monitor brushing habits but called for refinements, especially in Wi-Fi and application connectivity. Recommendations for system improvements encompassed enhanced app functionality, individualized coaching, more comprehensive brushing data, and the addition of flossing activity tracking.

CONCLUSIONS

The research highlights ROBAS's promise as a digital platform for unobtrusively tracking daily oral self-care activities in marginalized communities. The system proved to be both feasible, as evidenced by its stable and accurate data capture of brushing behaviors, and user-friendly, as reflected by strong SUS scores and positive user feedback. Influential factors for its uptake included ease of learning and operation, and the feedback provided.
Development of a Video Consultation Patient-Satisfaction Questionnaire (vCare-PSQ): A Cross-Sectional Explorative Study (Preprint)
Authors: Larrabee Sonderlund Anders , Quirina Bang Van Sas Tessa , Wehberg Sonja , Huibers Linda , Nielsen Jesper Bo , Søndergaard Jens , Assing Hvidt Elisabeth
Published: August 2024

BACKGROUND

Since the COVID-19 pandemic, the use of video consultation (VC) in primary care has expanded considerably in many countries. VC and other telehealth formats are often touted as a solution to improved health care access, with numerous studies showing high satisfaction with this care format among health professionals and patients. However, operationalization and measurement of patient satisfaction with VC varies across studies and often lacks consideration of dynamic contextual factors (eg, convenience, ease-of-use, or privacy) and doctor-patient relational variables that may influence patient satisfaction.

OBJECTIVE

We aim to develop a comprehensive and evidence-based questionnaire for assessing patient satisfaction with VC in general practice.

METHODS

The vCare Patient-Satisfaction Questionnaire (the vCare-PSQ) was developed according to the COSMIN (Consensus-Based Standards for the Selection of Health Measurement Instruments) guidelines. To achieve our overall objective, we pursued three aims: (1) a validation analysis of an existing patient-satisfaction scale (the PS-14), (2) an assessment of extrinsic contextual factors that may impact patient satisfaction, and (3) an assessment of pertinent intrinsic and relational satisfaction correlates (eg, health anxiety, information technology literacy, trust in the general practitioner, or convenience). For validation purposes, the questionnaire was filled out by a convenience sample of 188 Danish adults who had attended at least 1 VC.

RESULTS

Our validation analysis of the PS-14 in a Danish population produced reliable results, indicating that the PS-14 is an appropriate measure of patient satisfaction with VC in Danish patient populations. Regressing situational and doctor-patient relational factors onto patient satisfaction further suggested that patient satisfaction is contingent on several factors not measured by the PS-14. These include information technology literacy and patient trust in the general practitioner, as well as several contextual pros and cons.

CONCLUSIONS

Supplementing the PS-14 with dynamic measures of situational and doctor-patient relational factors may provide a more comprehensive understanding of patient satisfaction with VC. The vCare-PSQ may thus contribute to an enhanced methodological approach to assessing patient satisfaction with VC. We hope that the vCare-PSQ format may be useful for future research and implementation efforts regarding VC in a general practice setting.

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