bluuebunny/crossref_metadata_2025 huggingface dataset:
Image Splicing Forgery Detection using Error Level Analysis and CNN
Authors: Irmawati Irmawati
Published: January 2024

The issue of image forgery through splicing has become increasingly relevant in the current digital era. Splicing involves the manipulation of images by combining parts of two or more different images to create a deceptive composite image. This technique can be employed for various purposes, including the dissemination of false information, damaging someone's reputation, or even creating confusion in specific contexts. Several techniques used to detect splicing involve statistical analysis, color analysis, and texture analysis. Additionally, artificial intelligence developments, such as deep learning, have been applied to enhance detection capabilities. In this study, we employed a Convolutional Neural Network (CNN) model to identify image deviations caused by splicing. Optimization was performed on the convolutional layers of the model to improve CNN performance. The integration of Error Level Analysis (ELA) was also implemented to aid in identifying splicing forgeries, where portions of one image are combined with parts of another. Areas that have undergone splicing may exhibit noticeable differences in error levels. The dataset utilized for this research was sourced from DVMM and CUISDE. The validation accuracy results for our CNN model before incorporating ELA were 61% for DVMM and 74% for CUISDE. After adding ELA, the CNN model demonstrated improved detection accuracy, achieving validation rates of 72% for DVMM and 71% for CUISDE.
Analysis of High School Students' Pocket Money Use in Smoking Behavior
Authors: Iqbal Muhammad , Petrix Lusiandro Julian , Rahmaniah Syarifah Ema , Herlan Herlan , Alamri Annisa Rizqa , Lianti Meisya Dwi , Oktavianus Dede
Published: January 2024

Indonesia is part of the world's largest cigarette production. Smoking behavior has become a common addictive behavior in Indonesia. For most teenagers, smoking behavior has become a common thing, but parents consider it as something that has a negative connotation. Smoking is an activity that is currently much loved by Indonesian teenagers. Attempts at restrictions related to smoking behavior are very difficult. Many negative effects can be caused by smoking. Cigarettes when consumed can be a source of various health problems such as cancer, heart, and respiratory disorders, as well as other things that are certainly a health hazard for the smoker. The existence of these conditions, of course, endangers the younger generation, and there must be Prevention of smoking activities carried out by young children. This study used literature study research methods. This study uses data collection techniques using secondary data. This study involved cigarette users consisting of high school children. The results of this study showed that high school children in Singkawang City, West Kalimantan use their money to buy cigarettes. Some of those who filled out the survey data knew about cigarettes through the intermediary of friends. The problem of smoking in today's era is that of course it will indirectly harm many people who are around smokers because the user is exposed to cigarette smoke.
Občutek pripadnosti šoli, dobrobit in učna uspešnost učencev in učenk: vpogledi mednarodnih raziskav znanja
Authors: Šterman Ivančič Klaudija , Štremfel Urška , Peras Igor , Japelj Pavešič Barbara
Published: January 2024

Občutek pripadnosti šoli je v znanstvenih razpravah prepoznan kot temeljna potreba posameznika. V kontekstu šole je občutek pripadnosti šoli prepoznan kot pomemben dejavnik učne uspešnosti in dobrobiti učencev in učenk. Zaradi raznolikosti in razpršenosti raziskav v širšem mednarodnem okolju ter mankom le teh v slovenskem prostoru pa so dosedanji vpogledi v občutek pripadnosti šoli slovenskih učencev in učenk relativno omejeni. Znanstvena monografija je odgovor na to problematiko. Občutek pripadnosti slovenskih učencev in učenk poglobljeno osvetljuje s podatki mednarodnih raziskav znanja.
Polyphenols profile and in vitro biological activities of black goji berries (Lycium ruthenicum Murr.)
Authors: Ilić Tijana , Krgović Nemanja , Božić Dragana D. , Samardžić Stevan , Marčetić Mirjana , Zdunić Gordana , Vidović Bojana B.
Published: January 2024

BACKGROUND: Due to the presence of wide-range phytochemicals, particularly anthocyanins, and their health-promoting activities, black goji fruits (Lycium ruthenicum Murr., LRf) gained attention as functional foods or nutraceuticals. However, data on the phytochemical composition and bioactivities of LRf from outside Asian countries are very limited. OBJECTIVE: This study reports the polyphenols profile and in vitro biological activities of LRf cultivated in the southern part of Serbia. METHODS: The total content of polyphenols, flavonoids and anthocyanins of LRf was determined spectrophotometrically, while the polyphenol profile was evaluated by LC-DAD-ESI-MS. Antioxidant and enzyme-inhibitory potentials against α-amylase, α-glucosidase, acetylcholinesterase, tyrosinase, and 15-lipoxygenase properties were determined spectrophotometrically. The prebiotic potential was assessed by the broth microdilution method. RESULTS: Chromatographic analysis confirmed that hydroxycinnamic acid derivatives and acylated anthocyanins were the predominant polyphenols of LRf. In addition to antioxidative activities, Lycium ruthenicum methanol extract (LRe) showed inhibitory effects against all tested enzymes (IC50 = 5.28–7.28 mg/mL). Prebiotic potential on the growth of various microorganisms’ species was observed, with a marked effect on the growth of yeast Saccharomyces boulardii. CONCLUSIONS: The polyphenol pattern of LRf cultivated in Serbia corresponds with the literature data. Observed bioactivities support further phytochemical characterizations of LRf and investigations of their health-promoting effects, especially prebiotic properties.
Modulatory effect of Andean blackberry polyphenols on genes related to antioxidant and inflammatory responses, the NLRP3 inflammasome, and autophagy
Authors: Castejón-Vega Beatriz , Kyriakidis Nikolaos C. , Alcócer-Gómez Elizabet , Giampieri Francesca , González-Paramás Ana M. , Cordero Mario D. , Alvarez-Suarez José M.
Published: January 2024

BACKGROUND: The Andean blackberry (Rubus glaucus Benth) is one of Ecuador’s most iconic Andean berries for which a high anthocyanin content has been described. OBJECTIVE: The aim of the present study was to determine the chemical composition and anti-inflammatory potential of the Andean blackberry from Ecuador, with an emphasis on its effects on NLRP3 inflammasome activation and autophagy processes. RESULTS: Andean blackberry extracts were rich in hydroxycinnamates (coumaric acid and derivates), in addition to quercetin and kaempferol as principal flavonols. Cyanidin and its glycosides were identified as the main anthocyanins present. Andean blackberry extracts efficiently reduced oxidative stress markers in the lipopolysaccharide-stimulated RAW 264.7 cells. The extracts also caused a moderate decrease in the expression of the pro-inflammatory and antioxidant genes NFκB1, TNF, IL-1β, IL-6, and NOS2 expression, while they significantly increased the mRNA levels of both SOD1 and NFE2L2 genes. Andean blackberry extracts significantly decreased the activation of the NLRP3 inflammasome complex, as well as p62 levels, and the LC3I/LC3II ratio increased, suggesting a direct action of Andean blackberry compounds on the inflammatory response and restoration of the autophagy process. CONCLUSIONS: These results suggest that Andean blackberries potentially have an anti-inflammatory effect through their ability to regulate genes related to the inflammatory and antioxidant response, as well as modulate the activation of the NLRP3 inflammasome complex and autophagy processes.
Cross-efficiency aggregation based on interval conditional entropy: An application to forest carbon sink efficiency
Authors: Chen Siting , You Cuiling , Wu Nan , Huang Yan
Published: January 2024

Cross-efficiency evaluation is an extension of data envelopment analysis (DEA), which can effectively distinguish between decision-making units (DMUs) through self- and peer-evaluation. The cross-efficiency of each DMU in a set of DMUs is measured in terms of intervals when the input–output data are represented by the number of intervals. Based on the interval cross-efficiency matrix, the interval entropy is defined in terms of the likelihood. Then, considering the influence of peer evaluation, the interval conditional cross-efficiency entropy is proposed and an aggregation model of the interval conditional cross-efficiency entropy is presented to create a ranking index for DMUs. Finally, a simple example is provided to illustrate the effectiveness of the proposed method, which is applied to the evaluation of forest carbon sink efficiency in China. The results indicate that the final cross-efficiencies of all 30 provinces range from 0 to 0.6. Among these provinces, those with a relatively high efficiency include Guangdong, Guizhou, Hainan, Shandong, and Qinghai.
Structure analysis and universal approximation of IT2 TS FLC using NT algorithm
Authors: Long Zuqiang , Luo Zelong , Wang Yunmeng
Published: January 2024

The analytical structure plays an important role in system design and stability analysis of FLC. Structure analysis of traditional IT2 TS FLCs using Zadeh min operator and KM algorithm requires multiple IC dividing, which results in complex calculation and cumbersome parameter adjustment. This article proposes a new IT2 TS FLC by adopting product-type operator and NT algorithm. The proposed controller has such advantages: 1)use product-type operator to skip the partitioning in fuzzy inference process;2) use NT algorithm to avoid determining switching points and sorting rule consequents in type-reduction process. Then, the controller is proved to be universal approximator and sufficient condition is deduced. Finally, we derive the analytical structure of the controller by substituting the parameters, and study the relationship between the uncertainty parameter θ and the analytical structure when the rule consequents are symmetric or asymmetric. Both the computational costs during operation and the computational workload for structural analysis can be reduced significantly by using the new FLC.
Fuzzy counterparts of partial hull operators in the theory of L-convex systems
Authors: Yang Hui , Wang Yi-Na
Published: January 2024

In this paper, we provide some new characterizations of L-convex systems. For this purpose, we first introduce the concept of partial hull operators and establish the categorical relationship between partial hull operators and convex systems. Then we abstract the relationship between a subset and its partially convex hull in convex system to a binary relation, called enclosed relation. Moreover, we prove that the enclosed relations are equivalent to convex systems. Subsequently, we generalize the concept of partial hull operators and enclosed relations to the fuzzy case, which will be called L-partial hull operators and L-enclosed relations respectively. Finally we explore the categorical isomorphisms between them.
The α-path of multi-dimensional uncertain differential equations and its applications
Authors: Wang Xiaoli , Wang Chongguo , Shi Gang
Published: January 2024

As a complex uncertain differential equation, how to solve the multi-dimensional uncertain differential equation is a complicated and difficult problem. This paper will be devoted to the α-path of some special multi-dimensional uncertain differential equations, namely, multi-factor uncertain differential equations, nested uncertain differential equations and multi-factor nested uncertain differential equations. The α-path method is used to study the numerical solution problems of the above three special multi-dimensional uncertain differential equations. At the same time, the inverse uncertainty distributions and expected values of these three special multi-dimensional uncertain differential equations are also obtained. At last, the numerical algorithm examples are given to verify it.
Analysis of the role of psychological occupational therapy in the process of cultural tourism with tourists
Authors: Wang Fang
Published: January 2024

The rapid development of cultural tourism in recent years refers to a process of cultural experience of tourist objects with cultural characteristics. It can not only vigorously carry forward the rich and colorful history and cultural deposits, but also combine the huge economic and cultural benefits generated by tourism, and promote the rapid development of cultural construction. Cultural tourism is a kind of way that all kinds of social groups enjoy, and it is a deep and lasting way of communication, which can promote the communication between people of different social strata. The existing literature has explored the influence of tourists’ psychological carrying capacity, but failed to explain the process and degree of influence. Based on behavioral and experience theories, this paper proposes that culture has a positive impact on tourists’ psychological carrying capacity through tourist experience, and tests relevant hypotheses. The primary psychological traits of historical and cultural tourists include curiosity about historical mysteries, the desire for historical knowledge, motivation to collect spiritual enrichment, academic interest in cultural heritage exploration, and an aesthetic appreciation for classical history. Key determinants include the scale and conservation of historical and cultural resources, their combination with natural attractions, and the personal qualities of tourists and the cultural competence of tour guides. The mental health care model combines tourism and psychology to facilitate both physical and mental well-being through professional psychological counseling services, aiding tourists in their recovery and self-healing. This integrated approach offers a broad scope and potential as an effective tool for addressing negative emotions, with demonstrated therapeutic effects focusing on psychological and social factors.
Dual-stream pyramid and attention network for stereo matching
Authors: Shi Liqing , Xiong Taiping , Cui Gengshen , Pan Minghua , Zhu Zhiguo , Cheng Wei
Published: January 2024

In order to accurately estimate the disparity of ill-posed regions, such as weak texture and occlusion regions, we propose DSPANet, a stereo matching network that incorporates a dual-stream pyramid module and a channel and spatial attention module. The dual-stream pyramid module captures numerous complementary features from different layers by utilizing multi-resolution inputs and feature extraction blocks. This approach enables the learning of local detailed features at various scales. These features at various scales are then combined to calculate the stereo matching cost. By incorporating channel and spatial attention module into the feature extraction process to obtain richer and more concise contextual information, the matching cost can be constructed more accurately, which provides powerful conditions for subsequent cost aggregation. In the cost aggregation stage, we utilize the stacked hourglass module for both encoding and decoding. Additionally, we incorporate 3D global attention upsampling during the decoding stage, which enables high-level features to provide guidance information to low-level features in a simple way. We evaluate our proposed method on the Scene Flow dataset, as well as the KITTI2012 and KITTI2015 datasets. The experimental results demonstrate that our DSPANet achieves superior performance and effectively enhances the matching results in ill-posed regions. Our code has been implemented using PyTorch and will be released after paper publication at https://github.com/Shi-LiQing/DSPANet.
A novel multi-attribute decision making method based on interval-valued fermatean fuzzy bonferroni mean operators
Authors: Ma Xiuqin , Sun Huanling , Qin Hongwu , Wang Yibo , Zheng Yan
Published: January 2024

When handling complex uncertainty information for multi-attribute decision-making (MADM) problems, interval-valued Fermatean fuzzy sets (IVFFSs) are a novel and powerful tool with a wide range of prospective applications. However, existing MADM methods based on IVFFS ignore associations between attributes and are vulnerable to extreme values. Thus, this research proposes a novel MADM method based on IVFFSs. First, taking into consideration attribute relationships, we propose interval-valued Fermatean fuzzy Bonferroni mean (IVFFBM) operators and interval-valued Fermatean fuzzy weighted Bonferroni mean (IVFFWBM) operators based on IVFFSs. Further, interval-valued Fermatean fuzzy power Bonferroni mean (IVFFPBM) operator and interval-valued Fermatean fuzzy weighted power Bonferroni mean (IVFFWPBM) operator are suggested considering the impact of extreme values. Secondly, Attribute weights are a key component of MADM. A novel method for determining attribute weights based on fuzzy entropy is developed. Finally, a novel MADM approach is proposed based on the proposed operator and weight determination method. Experimental results on one real-life case demonstrate the superiority and effectiveness of our method.
Rolling bearing fault diagnosis based on improved whale-optimization- algorithm–variational-mode-decomposition method
Authors: Xu Chuannuo , Cheng Xuezhen , Wang Yi
Published: January 2024

Rolling bearings are a key component of rotating machinery and their health directly affects the safe operation of mechanical equipment. Therefore, fault diagnose for rolling bearings is very important. The fault diagnosis process of rolling bearings includes three stages: signal decomposition, feature extraction, and pattern recognition. Variational mode decomposition (VMD) can suppress end effects, but improper parameter settings will cause information losses or excessive decomposition. In this work, an improved whale optimization algorithm (IWOA) is applied to parameter settings of VMD. Correspondingly, an IWOA-VMD signal decomposition method is proposed. The decomposed signal is combined with a Laplace score method and classifier to remove the redundancy and noise in the feature set and obtain a low-dimensional sensitive feature subset. Then, aiming at the problem of the parameter settings of a least squares support vector machine (LSSVM) affecting the recognition performance and accuracy, a salp swarm algorithm (SSA) is used to globally optimize the penalty parameter and kernel width in the LSSVM to establish an SSA-LSSVM fault recognition model. This model is applied to the fault diagnosis of rolling bearings. In particular, rolling bearing fault samples at Case Western Reserve University are used to verify the method. The results indicate that the proposed method is effective and improves the speed and accuracy of fault diagnosis.
Chronotropic Incompetence During Exercise Testing as a Marker of Autonomic Dysfunction in Individuals with Early Parkinson’s Disease
Authors: Griffith Garett , Lamotte Guillaume , Mehta Niyati , Fan Peng , Nikolich Juliana , Springman Victoria , Suttman Erin , Joslin Elizabeth , Balfany Katherine , Dunlap MacKenzie , Kohrt Wendy M. , Christiansen Cory L. , Melanson Edward L. , Josbeno Deborah , Chahine Lana M. , Patterson Charity G. , Corcos Daniel M.
Published: January 2024

Background:

An attenuated heart rate response to exercise, termed chronotropic incompetence, has been reported in Parkinson’s disease (PD). Chronotropic incompetence may be a marker of autonomic dysfunction and a cause of exercise intolerance in early stages of PD.

Objective:

To investigate the relationship between chronotropic incompetence, orthostatic blood pressure change (supine – standing), and exercise performance (maximal oxygen consumption, VO2peak) in individuals with early PD within 5 years of diagnosis not on dopaminergic medications.

Methods:

We performed secondary analyses of heart rate and blood pressure data from the Study in Parkinson’s Disease of Exercise (SPARX).

Results:

128 individuals were enrolled into SPARX (63.7±9.3 years; 57.0% male, 0.4 years since diagnosis [median]). 103 individuals were not taking chronotropic medications, of which 90 had a normal maximal heart rate response to exercise testing (155.3±14.0 bpm; PDnon-chrono) and 13 showed evidence of chronotropic incompetence (121.3±11.3 bpm; PDchrono, p < 0.05). PDchrono had decreased VO2peak compared to PDnon-chrono (19.7±4.5 mL/kg/min and 24.3±5.8 mL/kg/min, respectively, p = 0.027). There was a positive correlation between peak heart rate during exercise and the change in systolic blood pressure from supine to standing ( r = 0.365, p < 0.001).

Conclusions:

A subgroup of individuals with early PD not on dopaminergic medication had chronotropic incompetence and decreased VO2peak, which may be related to autonomic dysfunction. Evaluation of both heart rate responses to incremental exercise and orthostatic vital signs may serve as biomarkers of early autonomic impairment and guide treatment. Further studies should investigate whether cardiovascular autonomic dysfunction affects the ability to exercise and whether exercise training improves autonomic dysfunction.
One-pot polycondensation and characterization of melamine-based polymer for mercury and sodium hypochlorite sensing
Authors: Devi Mamta , Sandhu Navjot , Devi Renu , Verma Meenakshi , Nemiwal Meena , Shrivastava Rahul , Gupta Navneet Kumar , Nayak Ripsa Rani , Yadav Rajesh Kumar , Singh Atul P.
Published: January 2024

A porous, low-cost, organic, amorphous and carbon-nitride functionalized polymer was synthesized using melamine and 5-bromo-2-thiophenecarboxaldehyde. One-pot polycondensation method was opted, to yield hyper-crosslinked polyaminal network which was used for the detection of NaOCl and Hg2+. Reaction proceeds in single step without addition of any catalyst and gives promising yield. The authenticity of the synthesized polymer MB was established using X-Ray photoelectron spectroscopy (XPS), Fourier-transform infrared spectroscopy (FT-IR) and Energy-dispersive spectroscopy (EDS). However, the morphology and thermal stability of MB was studied using X-Ray diffraction (XRD) & Scanning electron microscopy (SEM) and Thermogravimetric analysis (TGA) & Differential thermal analysis (DTA) respectively. BET studies were carried out to analyze the porous structure of MB. The pore diameter is centred at 6.2851 nm with specific surface area of 24.348 m2 g–1 and pore volume of 0.038258 cm3 g–1. The TGA curve showed that it has a good thermal stability (250°C). The synthesized compound was checked for its sensing behaviour with different analytes (metal ions: Cu2+, Cr2+, Mg2+, Cd2+, Mn2+, Zn2+, Pb2+, Hg2+; acids: HCl, H2SO4, HNO3 and ROS: t-BuOOH, KO2, NaOCl) in deionized water and was found to show significant change in intensity with NaOCl and Hg2+. The change in absorption spectra was observed at varied concentrations of NaOCl and Hg2+ solutions in deionized water using UV-Vis. Spectrophotometer.
Periventricular hemorrhagic infarction in preterm neonates: Etiology and time of development
Authors: Ilves N. , Metsvaht T. , Laugesaar R. , Rull K. , Lintrop M. , Laan M. , Loorits D. , Kool P. , Ilves P.
Published: January 2024

BACKGROUND: To find the obstetrical and delivery associated risk factors of antenatal and postnatal grade III intraventricular hemorrhage (IVH) or periventricular hemorrhagic infarction (PVHI) in preterm neonates. METHODS: A retrospective study of obstetric and delivery associated risk factors included neonates (<35 gestational weeks) with severe IVH/PVHI (n = 120) and a prospectively collected control group (n = 50). The children were divided into: (1) antenatal onset group (n = 27) with insult visible on cerebral ultrasonography within the first 12 hours of birth or periventricular cystic changes visible in PVHI within the first 3 days; (2) neonatal onset group (n = 70) with insult diagnosed after initial normal findings or I-II grade IVH, and (3) unknown time-onset group (n = 23) with insult visible at > 12 h of age. RESULTS: The mothers of the antenatal onset group had significantly more bacterial infections before delivery compared to the neonatal onset group: 20/27 (74.1%) versus 23/69 (33.3%), (odds ratio (OR) 5.7 [95% confidence interval 2.1–16]; p = 0.0008) or compared to the control group (11/50 (22%); OR 11 [2.8–42]; p = 0.0005). Placental histology revealed chorioamnionitis more often in the antenatal compared to the neonatal onset group (14/21 (66.7%) versus 16/42 (38.1%), respectively; OR 3.7 [1.18–11]; p = 0.025). Neonates with neonatal development of severe IVH/PVHI had significantly more complications during delivery or intensive care. CONCLUSIONS: Bacterial infection during pregnancy is an important risk factor for development of antenatal onset severe IVH or PVHI. In neonates born to mothers with severe bacterial infection during pregnancy, cerebral ultrasonography is indicated for early detection of severe IVH or PVHI.
The Customer Loyalty vs. Customer Retention: The Impact of Customer Relationship Management on Customer Satisfaction
Authors: Dwivedi Ram Kumar , Lohmor Choudhary Shailee , Dixit Rinku Sharma , Sahiba Zainab , Naik Satyaprakash
Published: January 2024

In this competitive world, companies should sustain good relationships with their consumers. CRM (customer relationship management) program can improve the company’s customer satisfaction; to satisfy customer need different processes and technique are established to make the CRM more effective. This research is proposed to determine the relationship between customer loyalty and retention. Also, this research examines the impact of Customer Relationship Management (CRM) on Customer Satisfaction. The target population of this study is customers of the tourism industry in India ( n = 300). Then, regression analysis is carried out in order to discover the link between the variables. This study result shows that service quality and employee behavior of customer need and satisfaction with the effect of different significant of positive relation of both the variables. To make the customer satisfied and to retain their company the CRM should be strong and reliable with the consumers. CRM plays a vital role in increasing market share, high productivity, improving in-depth customer knowledge, and customer satisfaction to increase consumer loyalty to the company to have a clear view of who is their customer, what are the need of their customer and how can satisfy their needs and wants their customers.
Combined optimization strategy: CUBW for load balancing in software defined network
Authors: Sharma Sonam , Seth Dambarudhar , Kapil Manoj
Published: January 2024

Software Defined Network (SDN) facilitates a centralized control management of devices in network, which solves many issues in the old network. However, as the modern era generates a vast amount of data, the controller in an SDN could become overloaded. Numerous investigators have offered their opinions on how to address the issue of controller overloading in order to resolve it. Mostly the traditional models consider two or three parameters to evenly distribute the load in SDN, which is not sufficient for precise load balancing strategy. Hence, an effective load balancing model is in need that considers different parameters. Considering this aspect, this paper presents a new load balancing model in SDN is introduced by following three major phases: (a) work load prediction, (b) optimal load balancing, and (c) switch migration. Initially, work load prediction is done via improved Deep Maxout Network. COA and BWO are conceptually combined in the proposed hybrid optimization technique known as Coati Updated Black Widow (CUBW). Then, the optimal load balancing is done via hybrid optimization named Coati Updated Black Widow (CUBW) Optimization Algorithm. The optimal load balancing is done by considering migration time, migration cost, distance and load balancing parameters like server load, response time and turnaround time. Finally, switch migration is carried out by considering the constraints like migration time, migration cost, and distance. The migration time of the proposed method achieves lower value, which is 27.3%, 40.8%, 24.40%, 41.8%, 42.8%, 42.2%, 40.0%, and 41.6% higher than the previous models like BMO, BES, AOA, TDO, CSO, GLSOM, HDD-PLB, BWO and COA respectively. Finally, the performance of proposed work is validated over the conventional methods in terms of different analysis.
Has COVID-19 really affected the physical and mental health of university students? One-year follow-up results after the pandemic declaration
Authors: Yilmaz Gokmen Gulhan , Kecelioglu Sule
Published: January 2024

BACKGROUND: The COVID-19 pandemic affected the whole world and various isolation measures were applied during this period. One of the groups that were physically and mentally affected by this period was students. OBJECTIVE: To investigate the effects of the COVID-19 pandemic on the physical activity (PA) level, attitudes and behaviors related to PA, smoking, perceived stress, and fatigue of university students one-year after the declaration of the pandemic. METHODS: A total of 102 students (79F/23M, 20.68±1.81 years) who were evaluated face to face with International Physical Activity Questionnaire-Short Form (IPAQ-SF), Cognitive Behavioral Physical Activity Questionnaire (CBPAQ), Perceived Stress Scale (PSS), and Turkish Checklist Individual Strength (CIS-T) Questionnaire before the declaration of the pandemic, were evaluated online with the same questionnaires one-year after the declaration of the pandemic. RESULTS: Although there was no difference in terms of other variables, there was a statistically significant difference in the CBPAQ outcome expectation subscale (p = 0.04). The ΔPSS and ΔCIS-T total had a statistically significant effect on the ΔCBPAQ total (p = 0.003 and p = 0.007), ΔPSS and ΔCIS-T total were independent predictors of ΔCBPAQ total (Δ: before-one year after the declaration of the pandemic) CONCLUSION: University students had positive attitudes and behaviors related to PA and they increased their PA levels, although not significantly, compared to before the declaration of the pandemic. Perceived stress and fatigue may have an effect on attitudes and behaviors related to PA and PA levels. It is thought that university students continue their routines despite the many limitations of the pandemic.
Association between occupational stress, occupational burnout, and depressive symptoms among medical staff during COVID-19: A cross-sectional study in Chongqing, China
Authors: Zhou Chunmin , Chen Fengqiong , Wang Jin , Jin Nan , Li Jinshan , Zheng Bailiang , Ye Mengliang
Published: January 2024

BACKGROUND: Studies have extensively examined the factors contributing to the onset of occupational stress, burnout, and depression. However, the relationship between these variables is limited. OBJECTIVE: This study aimed to explore the association between occupational stress, burnout, and depressive symptoms and to investigate the mediating effect of burnout between occupational stress and depressive symptoms in medical staff. METHODS: A cross-sectional survey was conducted among medical staff in Chongqing, China. The Core Occupational Stress Scale (COSS), Maslach Burnout Inventory: General Survey (MBI-GS), and Patient Health Questionnaire-9 (PHQ-9) were used to assess the status of occupational stress, burnout, and depressive symptoms, respectively. The bootstrapping analyses using SPSS PROCESS macros version 3 were conducted to examine mediating effects. RESULTS: The study conducted on medical staff in Chongqing revealed that the detection rates of occupational stress, occupational burnout, and depressive symptoms were 31.8%, 23.3%, and 30.3%, respectively. Hierarchical regression analysis revealed that occupational stress and burnout accounted for 19.3% (p < 0.001) and 18.8% (p < 0.001) of the variance in depressive symptoms, respectively. Mediation analysis showed that occupational stress indirectly affected depressive symptoms through the mediating effect of occupational burnout, with a mediation effect value of 0.13 (bootstrap 95% CI: 0.116-0.144) and the mediation effect accounting for 44.8% of the total effect. CONCLUSION: Our results indicated that occupational stress and burnout were predictors of depressive symptoms. Occupational stress had a significant indirect effect on depressive symptoms via burnout. These results suggest that reducing occupational stress and burnout could be effective strategies for preventing depression among medical staff.
“I haven’t really gone through things like this”: Young long-term care workers’ experiences of working during the COVID-19 pandemic
Authors: Cruise Cera E. , Celis Sofia , Lashewicz Bonnie M.
Published: January 2024

BACKGROUND: Long-term care (LTC) facilities were hard hit by the COVID-19 pandemic in Canada. Using life course theory concepts, we looked for conditions that led to worker moral distress –i.e. pain or anguish over not being able to take right action - and how life stage may influence experiences. OBJECTIVE: To illuminate the experiences of adults under the age of 30 who stepped into, and/or persevered in, working in LTC during the pandemic, recognizing that this emerging workforce represents the future of LTC in Canada. METHODS: This secondary analysis uses interview data from a sub-sample of 16 young workers between 18 and 29 years of age who had been working in Canadian LTC facilities for between 8 months and 7 years. RESULTS: Young workers expressed feeling guilt about mourning the loss of socially significant milestones as these milestones paled by comparison to the loss of life and consequences of resident isolation they witnessed at work. To manage feelings of moral distress, young workers attempted to maintain high standards of care for LTC residents and engaged in self-care activities. For some workers, this was insufficient and leaving the field of LTC was their strategy to respond to their mental health needs. CONCLUSION: The life stage of young LTC workers influenced their experiences of working during the COVID-19 pandemic. Interventions are needed to support young workers’ wellbeing and job retention.
Artificial intelligence auxiliary diagnosis and treatment system for breast cancer in developing countries
Authors: Li Wenxiu , Gou Fangfang , Wu Jia
Published: January 2024

BACKGROUND:

In many developing countries, a significant number of breast cancer patients are unable to receive timely treatment due to a large population base, high patient numbers, and limited medical resources.

OBJECTIVE:

This paper proposes a breast cancer assisted diagnosis system based on electronic medical records. The goal of this system is to address the limitations of existing systems, which primarily rely on structured electronic records and may miss crucial information stored in unstructured records.

METHODS:

The proposed approach is a breast cancer assisted diagnosis system based on electronic medical records. The system utilizes breast cancer enhanced convolutional neural networks with semantic initialization filters (BC-INIT-CNN). It extracts highly relevant tumor markers from unstructured medical records to aid in breast cancer staging diagnosis and effectively utilizes the important information present in unstructured records.

RESULTS:

The model’s performance is assessed using various evaluation metrics. Such as accuracy, ROC curves, and Precision-Recall curves. Comparative analysis demonstrates that the BC-INIT-CNN model outperforms several existing methods in terms of accuracy and computational efficiency.

CONCLUSIONS:

The proposed breast cancer assisted diagnosis system based on BC-INIT-CNN showcases the potential to address the challenges faced by developing countries in providing timely treatment to breast cancer patients. By leveraging unstructured medical records and extracting relevant tumor markers, the system enables accurate staging diagnosis and enhances the utilization of valuable information.
Diagnostic reference levels in spinal CT: Jordanian assessments and global benchmarks
Authors: Rawashdeh Mohammad , Bani Yaseen Abdel-Baset , McEntee Mark , England Andrew , Kumar Praveen , Saade Charbel
Published: January 2024

BACKGROUND:

To reduce radiation dose and subsequent risks, several legislative documents in different countries describe the need for Diagnostic Reference Levels (DRLs). Spinal radiography is a common and high-dose examination. Therefore, the aim of this work was to establish the DRL for Computed Tomography (CT) examinations of the spine in healthcare institutions across Jordan.

METHODS:

Data was retrieved from the picture archiving and communications system (PACS), which included the CT Dose Index (CTDI (vol) ) and Dose Length Product (DLP). The median radiation dose values of the dosimetric indices were calculated for each site. DRL values were defined as the 75th percentile distribution of the median CTDI (vol)  and DLP values.

RESULTS:

Data was collected from 659 CT examinations (316 cervical spine and 343 lumbar-sacral spine). Of the participants, 68% were males, and the patients’ mean weight was 69.7 kg (minimum = 60; maximum = 80, SD = 8.9). The 75th percentile for the DLP of cervical and LS-spine CT scans in Jordan were 565.2 and 967.7 mGy.cm, respectively.

CONCLUSIONS:

This research demonstrates a wide range of variability in CTDI (vol)  and DLP values for spinal CT examinations; these variations were associated with the acquisition protocol and highlight the need to optimize radiation dose in spinal CT examinations.
“I Would Rather Lose Everything Else I Possess”: Love of Nature and L.M. Montgomery’s Intuitive Wellness Strategies, 1901-11
Authors: Conrad Gothie Sarah
Published: January 2024

L.M. Montgomery’s use of “rambles” to de-escalate depressive episodes and restore her mental wellness is well documented in the entries she made in her PEI journals while living in Cavendish and Halifax from 1901 to 1911. Modern-day research on forest bathing and seasonal affective disorder provides scientific explanations for why the time Montgomery spent in nature may have boosted her mental health during a pivotal period in her career, particularly during the winter of 1905 to 1906, when she was composing Anne of Green Gables.
KUALITAS PRODUK, HARGA DAN CITRA MEREK: PENGARUHNYA TERHADAP KEPUTUSAN PEMBELIAN
Authors: Nuraini Aizahra , Fitriana Nita
Published: January 2024

Indonesian's consumption on milk has increased by year to year. Bear Brand is considered as one of qualified brands for its benefits. Compared to other brands, Bear Brand is continously increasing on its sales even it has the same quality and higher. The aim of this study is to analyze the influence of product quality, price, and brand image on purchasing decisions, and which the most dominant variable influencing on purchasing decisions. This research used quantitative research. The populations were consumers of Bear Brand in Yogyakarta. This research sample was determined by purposive sampling technique as many as 100 people. Data analysis used multiple regression analysis. The results showed that product quality and, price had an effect on the decision to buy Bear Brand in Yogyakarta, while brand image had no effect on the decision to buy Bear Brand milk in Yogyakarta. The result showed that the most dominant variable influencing on purchasing decisions is the price variable.
PENGARUH MARKETING MIX TERHADAP MINAT BELI PADA INDOMARET
Authors: Winartanti Hasti , Damayanti Dila
Published: January 2024

Kegiatan dunia usaha seperti minimarket menjadi suatu fenomena dan perhatian yang menarik. Minimarket yang ada dibuat sedemikian rupa agar dapat menarik minat para konsumen untuk membeli disana. Indomaret Sewon Bantul merupakan minimarket yang beroprasi dibawah PT. Indomarco Prismatama, TBK. Dalam menjalankan kegiatan pemasaranya, Indomaret Sewon Bantul menggunakan strategi marketing mix. penelitian ini bertujuan untuk mengetahui adanya pengaruh strategi marketing marketing mix terhadap minat beli konsumen di Indomaret Sewon Bantul. Dengan menggunakan metode penelitian kuantitatif, data diperoleh melalui angket yang disebar kepada 100 responden dengan karakteristik yang beragam. Pengolahan data menggunakan bantuan program SPSS 24. Hasil penelitian ini menunjukan, secara parsial variabel produk (X1) dengan nilai thitung 2,521 > ttabel 0,1984 serta memiliki nilai signifikansinya 0,003, harga (X2) dengan nilai thitung 5,763 > ttabel 0,1984 serta memiliki nilai signifikansinya 0,000, promosi (X3) dengan nilai thitung 4,187 > ttabel 0,1984 serta memiliki nilai signifikansinya 0,000, tempat (X4) dengan nilai thitung 3,137 > ttabel 0,1984 serta memiliki nilai signifikansinya 0,001, orang (X5) dengan nilai thitung 3,444 > ttabel 0,1984 serta memiliki nilai signifikansinya 0,008, bukti fisik (X6) dengan nilai thitung 3,110 > ttabel 0,1984 serta memiliki nilai signifikansinya 0,002, dan proses (X7) dengan nilai thitung 5,801 > ttabel 0,1984 serta memiliki nilai signifikansinya 0,000. Sehingga dapat disimpulkan semua variabel berpengaruh terhadap minat beli ulang. Berdasarkan hasil pengujian parsial (uji t) antara variable harga, promosi, dan proses dari ketujuh uji variabel tersebut memiliki nilai thitung dan signifikasi jauh lebih besar dari pada nilai produk, tempat, orang dan bukti fisik. Jadi dapat kita simpulkan bahwa variabel harga, promosi dan proses merupakan variabel yang paling dominan yang mempengaruhi minat beli karena konsumen cenderung membeli ketika melihat harga yang ditawarkan, promosi dan kelancaran proses selama transaksi.
PENGARUH SOCIAL MEDIA DAN MARKETPLACE MARKETING TERHADAP PERILAKU IMPULSE BUYING DENGAN DIGITAL PAYMENT SEBAGAI MODERATING
Authors: Widyayanti Evi Rosalina
Published: January 2024

This research aims to determine the influence of social media and marketplace marketing on impulse buying behavior with digital payment as a moderating. This research was conducted on 100 student respondents in Yogyakarta. They are generation Z active Smartphone users with Social Media and Marketplace when they are shopping in online and also using Digital Payment. The technique sampling that used in this research is non-probability sampling, with a judgment/purposive sampling type. The research method used is a quantitative method and the analytical tool used is SPSS with multiple linear regression analysis techniques and Moderated Regression Analysis (MRA) because this research involves moderating variables. From the results of multiple linear regression analysis, it is proven that Social Media Marketing and Marketplace Marketing have a significant positive influence on Impulse Buying with the significance result of the SM_X1 variable being 0.000 < 0.05 and the significance result of the MP_X2 variable being 0.000 < 0.05. However, the results of the MRA analysis on the Digital Payment moderation variable were not able to moderate the influence of the Social Media Marketing and Marketplace Marketing variables on the Impulse Buying variable because the results of the significance of the interaction variable were > 0.05.
PENGARUH PERSON ORGANIZATION FIT TERHADAP MOTIVASI DAN KINERJA GURU DI MAN 3 YOGYAKARTA
Authors: Hadipranata Qurrata A’yunina Ciptantri , Nurwahyudi Muhammad Robi , Ambara Eka
Published: January 2024

Konsep hubungan person organization fit dengan motivasi dan kinerja karyawan sangat penting karena berkaitan dengan perannya dalam pencapaian kesuksesan suatu organisasi. Penelitian ini bertujuan untuk mengetahui apakah terdapat hubungan yang positif dan signifikan antara person organization fit dengan motivasi dan kinerja karyawan. Penelitian dilakukan pada guru dan karyawan MAN 3 Yogyakarta dengan jumlah subjek penelitian sebanyak 62 responden. Alat pengumpul data berupa kuisioner dan wawancara. Analisis data dilakukan dengan tehnik statistik regresi sederhana dengan bantuan program SPSS. Hasil penelitian menunjukkan bahwa Person-organization Fit berpengaruh positif signifikan terhadap motivasi guru dan karyawan di MAN 3 Yogyakarta. Besarnya kontribusi variabel Person-Organization Fit terhadap motivasi yaitu sebesar 0,589 atau 58,9%. Person-organization Fit juga berpengaruh positif signifikan terhadap kinerja guru dan karyawan MAN 3 Yogyakarta. Besarnya kontribusi variabel Person-Organization Fit terhadap kinerja adalah sebesar 0,607 atau 60,7%. Dengan demikian hipotesis yang menduga bahwa person organization fit mempunyai pengaruh yang positif dan signifikan terhadap motivasi dan kinerja karyawan dapat diterima.
Pendampingan Hafalan di TPQ Noor Huda Desa Palingkau Asri Kabupaten Kapuas Melalui Buku Monitoring Hafalan
Authors: Rohmadi Mukhlis , Nursafitri Lisnia , Maryuni Maryuni , Riadi Reydo Bhanu , Rachmah Miftahul , Wati Nadia
Published: January 2024

Pendidikan Al-Qur'an merupakan salah satu aspek penting dalam pembentukan karakter dan spiritualitas umat Islam. Saat ini banyak ditemui lembaga pendidikan yang menjadi wadah belajar Al-Qur'an salah satunya Taman Pendidikan Al-Qur’an. Taman Pendidikan Al-Qur’an tidak hanya mempelajari Al-Qur’an saja, Namun juga mempelajari doa-doa harian, bacaan sholat, dan hafalan surat pendek Juz 30. Tujuan Pendampingan melalui bantuan buku hafalan di TPQ Paalingkau Asri adalah agar santri TPQ  memiliki banyak hafalan doa-doa harian dan bacaan sholat. Untuk melaksanakan kegiatan pendampingan ini menggunakan beberapa metode yakni metode ceramah, tanya-jawab, praktik, dan bercerita (story telling).  pendampingan hafalan ini agar santri berdoa setiap hari dan anak-anak diajarkan untuk senantiasa mengingat sang pencipta melalui aktivitas kebiasaan sehari hari mereka. Hasil Pengabdian yang dilaksanakan di TPQ Noor Huda memberikan dampak positif terhadap anak-anak yaitu mereka memperoleh pengetahuan, pengalaman baru, dan menambah hafalan mengenai do'a harian yang dapat diamalkan dalam kehidupan sehari-hari.
Menuju Masyarakat Ramah Lingkungan: Sosialisasi Inovatif Pengolahan Sampah dengan Teba Modern di Dusun Riang Ancut
Authors: Pamungkas Tri Hayatining , Sudika I Gusti Made , Sumarda Gede , Erlangga Ida Bagus Weda , Warsana Kadek Budhi
Published: January 2024

Tabanan tepatnya di Desa Riang Gede, Dusun Riang Ancut pengelolaan sampah masyarakat dapat dibilang belum optimal terutama dalam penanganan sampah organik. Untuk mengurangi dampak negatif dari sampah organik yang tidak dikelola dengan baik, maka dilakukan pengabdian kepada masyarakat dalam bentuk edukasi dan sosialisasi penerapan pengolahan sampah dengan basis teba modern. Metode pelaksanaan yang digunakan dalam kegiatan pengabdian ini adalah metode deskriptif evaluatif yang dilaksanakan dengan cara mendeskripsikan dan menganalisis situasi kondisi lahan yang digunakan serta dimaksimalkan dengan kegiatan sosialisasi tentang cara pengolahan sampah berbasis teba modern.  Hasil dari kegiatan tersebut memberikan hasil sangat baik yang ditandakan dengan apresiasi masyarakat terhadap program pengolahan sampah organik dengan teba modern melalui pengisian kuisioner evaluasi kegiatan yang disebar kepada perwakilan warga.
Literasi Digital Generasi Z LPP TVRI Bali dalam Menghadapi Hoaks Jelang Pemilu 2024
Authors: Wardani Kadek Devi Kalfika Anggria , Wanggai Ezra , Gorda Anak Agung Ngurah Eddy Supriyadinata
Published: January 2024

Kecakapan bermedia digital saat ini sangat diperlukan generasi muda khususnya generasi Z dalam kegiatan bermedia digital. Hal ini diperlukan kemajuan teknologi ini membawa resiko masifnya penyebaran hoaks. Hoaks khsusunya mengenai pemilu 2024 dapat membawa dampak negatif kepada generasi Z sebagai pemilih pemula dalam menentukan pilihan mereka. Tujuan dari kegiatan pengabdian masyarakat ini adalah untuk mengedukasi generasi z di LPP TVRI Bali sehingga menjadi individu yang mampu mengindikasi berita hoaks khususnya mengenai pemilu. Hal ini perlu dilakukan karena generasi z di LPP TVRI Bali menjadi bagian dalam garda terdepan dalam penyebaran informasi di Provinsi Bali dan juga sebagai pemilih pemula. Kegiatan pengabdian ini dilakukan dengan edukasi secara berkelompok Bersama dengan narasumber pilihan yang disusun menggunakan metode PDCA. Sasaran kegiatan penelitian ini adalah generasi z yang menjadi bagian dari kelompok penyiar, redaksi, reporter, editor, dan kameramen di LPP TVRI Bali. Hasil dari kegiatan pengabdian ini adalah meningkatnya pemahaman generasi z di LPP TVRI Bali mengenai cara mengindikasi hoaks yang dilihat dari hasil pre test dan post test yang telah dilakukan.