bluuebunny/crossref_metadata_2025 huggingface dataset:
إشكالية المواطنة والهوية الثقافية بين هابرماس ونصار: دراسة مقارنة بين الواقع الأوروبي والواقع اللبناني
Authors: الشولي عبد الرحمن
Published: October 2022

اتخذت إشكالية المواطنة أبعادًا مختلفة في الفلسفة السياسية المعاصرة، واقترنت بقضية الهوية الثقافية التي تحدد انتماء المواطن في الدول الديمقراطية، والتي تقف طرفًا مقابلًا لما تواجهه هذه الدول من تحديات العولمة والحداثة. ورغم اختلاف معالجة الإشكالية بين الفكرَين الغربي والعربي، وجدنا مجالات رئيسة يمكن الاستناد إليها لعقد مقارنة بين طبيعة تناول يورغن هابرماس لها وفق الواقع الأوروبي، وطبيعة تناول ناصيف نصار لها وفق الواقع اللبناني. بناء عليه، تسعى الورقة إلى تبيان نقاط الالتقاء والاختلاف في نظرية المواطنة لدى الفيلسوفَين، وتحليل مدى إمكانية عقد مقاربة بين ما حققه الاتحاد الأوروبي من فكرة المواطنة، وما ينبغي تحقيقه في المجتمع اللبناني منها.
Krank Biyel Mekanizmasının Pozisyon Kontrolü
Authors: AYDIN Muhammet
Published: October 2022

This paper presents the position control of the slider-crank mechanism in the simulation environment. The slider-crank mechanism was first 3D modeled in the Solidworks environment. This model was afterwards converted to xml format. The slider-crank mechanism's simulink blocks were made using the xml file from the Matlab model, which allowed the 3D model to be imported into Matlab. These Simulink blocks were used to implement the PID control approach for angle control of the model's input limb. In order to achieve this purpose, additional blocks required from the simulink have been added to other existing blocks. It has been determined that the mechanism's target reference point rotates 90 degrees in 0.01367 seconds. It was discovered that the error value was 0.03114. It is evident from the results that the mechanism's PID control method allows for quick position control with a very tiny margin of error. Solidworks is a program that may be used to create the final design of the slider-crank mechanism that will be created using this method. By deciding on the material that will be used to make the mechanism, it is simpler to achieve adequate control coefficients for practical applications when the same operations are repeated. This will free up time for additional study.
Numerical Investigation of Tissue Heating with Coaxial Slot Antenna Using Microwave Heater
Authors: TÜRKAN Burak
Published: October 2022

In hyperthermic oncology, the disease is treated by applying localized heating to the tumor, usually in combination with chemotherapy or radiotherapy. Heating is provided to the tumor from the part where a thin microwave antenna is placed. Here, a coagulated area is produced where cancer cells are killed. In this study, the temperature change, tissue deformation and specific absorption rate (SAR) of the tissue under the microwave effect were calculated. The liver tissue was modeled with a coaxial slot antenna at a frequency of 2.45 GHz and a numerical solution was made in the Comsol program. Result simulations of tissue after 2-4 and 6 minutes were obtained by taking different microwave powers (10-20-30W). It has been seen that the results obtained are compatible with the literature information.
Kurumsal Sürdürülebilir Gelişim ve Performans Açısından İşyeri-İş Güvenliğinin Önemi
Authors: ERDİL Ayşenur
Published: October 2022

Workplace- Occupational health and safety has grown more vital in order to safeguard the sustainability of firms' manufacturing operations in order to adapt to competitive pressures circumstances and quick consumption. Recognizing the destruction of productivity and image, as well as the money and spiritual expenses due to workplace fatalities and occupational diseases, implementing measures and improving workplace health and protection would bring major benefits to individuals, businesses, and the country 's business. Unsafe conditions, depending to studies, may be influenced through variables such as physical and technological environmental circumstances, as well as personnel characteristics. Conditions including the framework of the technology and manufacturing industry, the specifics of mining, development, and transportation lines of enterprise, ignorant and underqualified manufacturing workers, incapacity to adjust to technological advancements, environmental degradation, production organization layout, and the failure to use individual protective equipment and equipment guardians could all lead to occupational fatalities, particularly in underdeveloped and emerging nations.. These circumstances are significant in the likelihood of workplace accidents. Throughout the scope of this research, investigation is performed on the workspace functioning system, ergonomically design, and occupational physiological variables, which are considered the drivers of occupational disasters in generally. A continuous improvement, Total Abilities and Accomplishment (5S and Total Productive Maintenance) Implementation is provided to enhance occupational security and functional productivity in a business that manufactures white appliances. As a consequence of the specific application, an assessment was carried out in the perspective of worker productivity and commercial performance of the operations.
Ayva Atığının Emülsiyon Özellikleri
Authors: AKŞİT Zeynep , GENÇCELEP Hüseyin
Published: October 2022

Nowadays many studies have focused on food waste. With an expanding population and a wide variety of foods, the food sector is always expanding. In addition to production, there is also an increase in the development of food waste. These wastes result in economic difficulties, environmental damage, and the loss of priceless chemical components. The processing of fruits and vegetables generates the most waste. Quince is a fruit that is difficult to consume directly and is usually processed into jam or fruit juice. In this study, some emulsion properties of quince waste were investigated. Oil in water (O/W) emulsions formed with four different concentration (0.5%, %1, %2 and %3) of quince waste and no quince waste for the control grup. The emulsions' major constituents were chicken breast and corn oil. Quince waste decreased emulsion’ pH from 5.96 to 5.53. Emulsions manufactured with quince waste has the higher emulsion stability for all used concentrations (between 83.2 to 85.6) with respect to the control (80.6). Quince waste emulsions were found to have pseudoplastic character and exhibit shear thinning behavior. Quince waste samples used in study contribute the chicken type O/W emulsion in terms of emulsion stability and rheological properties.
Data Reduction Techniques: A Comparative Study
Authors: AlKarawi Ahmed , AlJanabi Kadhim
Published: October 2022

Data preprocessing in general and data reduction in specific represent the main steps in data mining techniques and algorithms since data in real world due to its vastness, the analysis will take a long time to complete .Almost all mining techniques including classification, clustering, association and others have high time and space complexities due to the huge amount of data and the algorithm behavior itself. That is the reason why data reduction represent an important phase in Knowledge Discovery in Databases (KDD) process. Many researchers introduced important solutions in this field. The study in this paper represents a comparative study for about 22 research papers in data reduction fields that covers different data reduction techniques such as dimensionality reduction, numerisoty reduction, sampling, clustering data cube aggregation and other techniques. From the conducted study, it can be concluded that the appropriate technique that can be used in data reduction is highly dependent on the data type, the dataset size, the application goal, the availability of noise and outliers and the compromise between the reduced data and the knowledge required from the analysis
Examination of scales developed/adapted on distance education
Authors: EROL Rabia , ESKİCİ Menekşe
Published: October 2022

Distance education is an educational practice concept that has been in the literature since the 1700s, when the idea of education being accessible was adopted. It has come to life in applications in different forms, from the years when education was seen as a mere transfer of knowledge, to the years when technological developments accelerated, and transnational classes could be formed. Due to the mandatory pandemic conditions experienced in 2020 and whose effects were observed at the global level, discussions, and studies on distance education in the field of educational sciences gained momentum and became one of the important concepts. This situation has also guided the scale development studies on distance education, and it is aimed to measure the concept of distance education by associating it with many factors such as attitude, satisfaction, and perception. However, in the literature review, no content analysis was found regarding the scales developed/adapted for distance education. The aim of this study; The aim of this study is to examine the distance education scales developed in Turkish and adapted to Turkish for higher education students. In this context, scale development and adaptation studies related to the concept of distance education in Turkish with higher education students in the study group were scanned through Google Scholar, TOAD and ResearchGate databases, and the scales developed/adapted were examined in terms of sub-dimensions, distribution by years, scale types, number of items and scale types analyzed. The research is a qualitative study in which document analysis method is used. In the research, 22 scale development/adaptation studies were examined by scanning model method. According to the results, it was seen that the scale development/adaptation studies were carried out mostly in 2021 (6), the development studies (17) were dominant, the number of items in the scales was in the range of 21-30 items (8), and it was developed in a 5-point Likert type (20). It has been shown that / is adapted.
Opinions of elementary mathematics teacher candidates on the use of digital technologies in mathematics education
Authors: TEMEL Hasan , GÜR Hülya
Published: October 2022

Although it is desired to be integrated into education quickly with the advancement of technology, it takes time to embed such changes in education. Teachers and teacher candidates are expected to have sufficient readiness and technological infrastructure in order to keep up with the targeted and rapid transformations. The study aims to determine the views of elementary mathematics teacher candidates (EMTC) on the use of digital technology (DT) in mathematics education. A case study, one of the qualitative research methods, was used in the research. The data of the study conducted with 83 elementary mathematics teacher candidates were collected within the framework of nine open-ended questions. In line with the analyses carried out, it was concluded that undergraduate courses positively affect the use of digital technologies in mathematics education. It has been stated that the COVID-19 pandemic has opened the door to the use of digital technologies in mathematics education, and opinions on what digital technologies can be used in mathematics education have been put forward. Suggestions were made that teacher candidates should increase the courses on the use of digital technologies in their undergraduate education.
Relationship between digital game addiction with body mass index, academic achievement, player types, gaming time: A cross-sectional study
Authors: POLAT Ahmet , TOPAL Murat
Published: October 2022

Digital game addiction was classified as a disease by the World Health Organization. It is characterized by impaired control over gaming and increasing priority given to gaming over other activities. Especially for school-age children, there are concerns about the effects of gaming addiction on health problems that are difficult to treat later and on their future careers. This study was conducted to analyze the relationship between academic achievement, body mass index and player types and computer game addiction of secondary school students. Study participants included 289 students attending fifth and sixth grades in a public school in Sivas province during the 2018-2019 academic year in Turkey. The data were analyzed with hierarchical regression analysis. The study findings revealed that digital game addiction was significantly predicted by gender, academic achievement score, computer and smartphone gameplay per-week, but not significantly predicted by the body mass index and player type variables. These findings suggest that male students with high weekly gameplay on computers and smartphones were exposed to a high risk of digital game addiction, and digital game addiction negatively affects academic achievements of the students. Future studies could be carried on focusing on the games and the types of games played by the students with similar variables.
Examination of the relationship between the attitudes of teacher candidates towards technology and their opinions of distance education
Authors: SANCAR Raziye
Published: October 2022

The study aims to determine possible relationships between the opinions of teacher candidates regarding distance education, and their attitudes toward the technology used in distance education courses. A quantitative research approach structured in a descriptive and relational survey model was used in the research. 81 teacher candidates studying in three different departments participated in the study. Non-parametric statistics were used to analyze the data, and Descriptive statistics, Kruskal-Wallis and Spearman-Brown correlation analysis were employed. The results revealed that there is a positive and moderately significant relationship between the attitudes of pre-service teachers towards technology and their opinions of the distance education process. It has also been determined that there is a positive and moderate relationship between the opinions of teacher candidates in regard to the sub-dimensions of the scale of the distance education process evaluation (levels of accessibility, usability, attitude, technological facilities, and self-efficacy) and their attitudes towards technology. These findings implicate that educators teaching online learners should consider the characteristics of their learners and make decisions regarding the teaching and learning process to create the optimal learning environment.
Magneto-Structural Transition and Refrigeration Property in All-D-Metal Heusler Alloys: A Critical Review
Authors: Zhang Qinyu , Qian Mingfang , Zhang Xuexi
Published: October 2022

Abstract: All-d-metal Heusler alloys has attracted much attention due to its unique magnetic properties, martensite transformation behavior and related solid-state refrigeration performance. These unique type alloys are recently discovered in 2015 and have been widely studied; however, systematic reviews on their magneto-structural transition and refrigeration property are rare. In this review, we first summarize the preparation techniques and microstructure of the bulk alloys and ribbons. Then the magnetic transition and martensite transformation behavior are reviewed, focusing on the correlation between magneto-structural transition and refrigeration properties. The effects of element doping, external magnetic and mechanical fields on the martensite transformation and corresponding magnetic entropy change are summarized. We end this review by proposing the further development prospective in the field of all-d-metal Heusler alloys.
Candidate drug molecule-DNA interaction and molecular modelling of candidate drug molecule
Authors: KARASAKAL Ayça , YALÇIN GÜRKAN Yelda , PARLAR Sülünay
Published: October 2022

Aim: 1,4-dihydropyridine derivative, 1-(3-phenyl propyl)-4-(2-(2-hydroxybenzylidene) hydrazone)-1,4-dihydropyridine (abbreviated as DHP) was synthesized as potential agent for Alzheimer’s disease which is a progressive neurodegenerative brain disorder affecting millions of elderly people. With this study, the electrochemical properties of DHP were investigated and its interaction with DNA was analyzed by differential pulse voltammetry (DPV) and cyclic voltammetry (CV) measurements. In addition, this study aims to determine degradation mechanism of the DHP molecule by Density-functional theory (DFT) in gas and in aqueous phase. Material and Method: Experimental conditions such as immobilization time, the effect of the scan rate, concentration, and the effect of pH were optimized. The method was validated according to validation parameters such as range, precision, linearity, limit of detection (LOD), limit of quantitation (LOQ) and inter/intraday. Results: Linearity study for the calibration curve of DNA and DHP with DPV was calculated in the calibration range 10-100 µg/mL. The LOD and LOQ values were calculated as 3 and 10 µg/mL and intra-day and inter-day repeatability (RSD %) were 1.85 and 3.64 µg/mL, respectively. After the DHP-DNA interaction, the oxidation currents of guanine decreased as a proof of interaction. The activation energy of the most possible path of reaction was calculated, and their thermodynamically most stable state was determined in gas phase. Conclusion: We developed to improve a sensitive, fast and easy detection process for determination of interaction between DHP and DNA.
The prognostic value of androgenetic alopecia and benign prostatic hyperplasia in men with COVID-19: a prospective multidisciplinaryobservational study of 766 patients from Turkey
Authors: TURAN Çağrı , METİN Nurcan , YILDIZ Türkantuğba , CAFEROĞLU SKAT Selcen , CİNİSLİOĞLU Ahmet , CİNİSLİOĞLU Nazan
Published: October 2022

Objectives: We aimed to investigate the prognostic value of androgenetic alopecia (AGA) and benign prostatic hyperplasia (BPH) in COVID-19. Material and Method: This prospective study was conducted only on men with COVID-19. All patients were recruited consecutively from the COVID-19 emergency service. 766 patients were evaluated in three independent groups between the ages of 30-49 (young), 50-64 (middle-aged), and 65-75 (elderly) to avoid Simson’s paradox. Age, body mass index, smoking, comorbidities, vital signs, oxygen saturation (SpO2%), laboratory (CRP, lymphocyte count, ferritin, d-dimer) and computed tomography (CT) results, hospitalization (primary endpoint), transfer to intensive care unit (ICU), AGA stage (Hamilton-Norwood scale, 3-7=moderate-severe AGA, Gabrin sign) and BPH were recorded. Results: There was no relationship with AGA in any prognostic parameter in the young age group. There was a significant difference in the poor prognostic direction in patients with Gabrin sign, in SpO2 and lymphocyte count for middle-aged, and CRP for the elderly (p=0.141, p=0.013, p=0.029; respectively). The frequencies of transfer to the ICU were higher with no statistical significance in patients with the Gabrin sign. The mortality was more common with no statistical significance in elderly patients with the Gabrin sign. Hospitalization frequencies were significantly higher in patients with BPH in middle-aged and elderly patients (p=0.041, p=0.026; respectively). No relationship was found between transfer to ICU, mortality, and BPH. Conclusions: AGA was not a prognostic indicator, though the increase in hospitalization frequency, particularly in elderly patients with BPH, may be associated with the androgen-mediated COVID-19 severity hypothesis.
Oxidative stress indicators during the course of acute graft versus host disease
Authors: ŞAHİN Uğur , DURSUN Ali Doğan
Published: October 2022

Aim: This prospective study aimed to observe the changes in oxidative stress indicators, including total anti-oxidant status (TAS), total oxidant status (TOS), paraoxanase-1 (PON1), total thiol (TT), native thiol (NT), disulphide (DS) and nitric oxide (NO) levels from sequential blood samples obtained during a de-novo episode of acute graft versus host disease (aGvHD) and evaluate their association with disease severity and the risk of steroid resistant disease.
Material and Method: Sequential patients who underwent an allogeneic stem cell transplantation (ASCT) in our unit and subsequently developed a de-novo episode of aGvHD between January 2022 and May 2022 were included in case they gave informed consent. All patients were started high dose (2 mg/kg/day) methylprednisolone as institutional standard first-line treatment of aGvHD as soon as the clinical diagnosis is evident. All episodes were confirmed simultaneously with gastrointestinal (GI) endoscopy and/or skin biopsies. TAS, TOS, PON1, TT, NT, DS and NO were studied from blood samples collected on days 0, +3 and +7 of steroid treatment. Demographic characteristics, diagnoses, donor type, GvHD prophylaxis, stage and grade of aGvHD, performance status (PS), the presence of cytomegalovirus (CMV) reactivation and response to steroid therapy were also noted.
Results: A total of 15 cases was included. The median age was 49 (23-77). Males constituted 60.0% (n=9). The most frequent diagnosis and donor type were acute leukemia (53.3%, n=8) and matched related donor (46.7%, n=7), respectively. High grade aGvHD with Glucksberg grading and International Bone Marrow Transplant Registry severity index (IBMTR-SI) included 53,3% (n=8) and 86.7% (n=10) of cases, respectively. Non-responders (20.0%, n=3) significantly had advanced stage GI involvement, higher grade of aGvHD with Glucksberg grading and IBMTR-SI, and lower PS (p=0.005, p=0.04, p=0.006, and p=0.02, respectively). The changes in TAS, TOS, PON1, TT, NT, DS and NO levels on days 0, +3 and +7 of steroid treatment were not significant. Median PON1 levels on days 0, +3 and +7 of steroid treatment were significantly lower among non-responders (p
Evaluation of the safety and antiviral efficacy of the tenofovir alafenamide fumarate molecule in immunosuppressed patients
Authors: DURAK Serdar , COŞAR Arif Mansur
Published: October 2022

Aim: Patients with chronic or prior hepatitis B virus (HBV) infection may experience HBV reactivation during immunosuppressive therapy. The objective of this study was to evaluate the safety and antiviral efficacy of tenofovir alafenamide fumarate (TAF) for prophylaxis of HBV reactivation in patients on immunosuppressive therapy.

Material and Method: This study included patients who were started on immunosuppressive treatment due to hematologic/solid malignancy, autoimmune disease, or inflammatory disease and were treated with TAF for at least six months due to HBsAg and/or total anti-HBc positivity at Karadeniz Technical University Farabi Hospital between January 2018 and February 2021. Electronic medical records were retrospectively reviewed and the adverse event profile was analyzed.

Results: Of the 94 patients enrolled in the study, 70.2% (n=66) were male. The mean age of the patients was 60.37±14.56 years. The reasons for initiation of immunosuppressive drug treatment were hematologic malignancies in 48.9% (n=46), solid tumors in 27.7% (n=26), and other causes (autoimmune/inflammatory) in 23.4% (n=22). There was no statistically significant difference in creatinine, phosphorus, glucose, and LDL profile between baseline and 6-12 months of TAF treatment (p=0.861, p=0.136, p=0.323, p=0.304, respectively). All patients in whom HBV DNA was detectable at baseline became negative at the last follow-up visit. None of the patients developed HBV reactivation and there was no need to discontinue antiviral/immunosuppressive treatment due to side effects.

Conclusion: TAF is a safe and effective short-term option to prevent HBV reactivation in patients receiving immunosuppressive therapy.
Handgrip Strength and Cognitive Performance in a Multiethnic Cohort in Singapore
Authors: Huang Xiangyuan , Alcantara Leicester Shawn , Tan Chuen Seng , Ng Yi Lin , van Dam Rob M. , Hilal Saima
Published: October 2022

Background: Handgrip strength (HGS) is an important marker of frailty but there is limited research on lifestyle and vascular determinants of HGS and its relationship with cognitive impairment. Objective: To identify determinants of HGS and the association of HGS with cognitive impairment in a multiethnic cohort from Singapore. Methods: This study (n = 2,109, median [Q1, Q3] age: 53 [48, 60] years, 59.6% women) was based on cross-sectional data from Singapore Multi-Ethnic Cohort. HGS was collected using hand-held Electronic Dynamometer. The potential determinants of HGS included age, sex, ethnicity, smoking, physical activity, serum cholesterol and history of hypertension, diabetes, and stroke. Cognition, assessed with the Mini-Mental State Examination (MMSE), was analyzed as both continuous and binary outcome (cognitively impaired [scores < 26] and cognitively normal [scores≥26]). Results: In total, 239 (11.3%) participants were cognitively impaired. Older age, female sex, Malay or Indian compared with Chinese ethnicity, and diabetes history were associated with decreased HGS, whereas higher education, higher body mass index, and more physical activity were associated with higher HGS. Higher HGS was associated with higher MMSE scores (β: 0.34, 95% CI: 0.20, 0.49) and 37% lower odds of cognitive impairment (OR: 0.63, 95% CI: 0.49–0.82). These associations were significantly stronger in participants who were older (50–90 years), female, of Malay and Indian ethnicity (compared with Chinese), and less educated. Conclusion: In this multi-ethnic Asian population, demographics, vascular risk factors, and lifestyle behaviors were associated with HGS. Additionally, higher HGS was associated with substantially better cognitive function, which association was modified by age, sex, ethnicity, and education level.
Sub-synchronous oscillation suppression in MMC-HVDC grid-connected systems under wind farm fluctuation scenarios
Authors: Jiang Youhua , Li Ke , Cao Yilong , Zhao Le , Jiang Xiangwei
Published: October 2022

In order to solve the problem of sub-synchronous oscillation (SSO) of wind power grid-connected system with modular multilevel converter based on high voltage direct current transmission (MMC-HVDC), which is characterized by frequency drift due to the fluctuation of wind power output and the dynamic interaction of MMC. By considering the coupling characteristics of wind power volatility and the internal harmonic dynamics of MMC, we establish a small-signal model of the interconnection system between the equivalent wind farm and MMC-HVDC, study the dominant factors triggering the system oscillation, and use model predictive control (MPC). The results show that the wind farm output, wind farm terminal voltage and terminal current are the dominant factors leading to SSO frequency drift. It is also verified that the MPC-SSDC control not only effectively suppresses SSOs with single frequency drift, but is also effective when multiple SSOs with different frequencies exist simultaneously. It is shown that MPC-SSDC can self-adapt to the multi-oscillation scenario of wind power grid-connected system to provide frequency and damping support for the system.
Fuzzy line enhancement scheme of computer art image based on DRL algorithm
Authors: Guo Yong
Published: October 2022

In this study, a new blurred line enhancement scheme of computer art image based on Deep Reinforcement Learning (DRL) algorithm was proposed. The hard threshold method is adopted to remove the noise of computer art images and the blurred lines are extracted by texture separation method. Based on the line extraction results, the Deep Q-Network (DQN) model was built with DRL algorithm, and the sample images were input into the model, and the fuzzy line enhancement results of computer art images were obtained in the output layer. The proposed method exhibits excellent noise reduction effect, and the fuzzy line enhancement quality of computer art image is good. The average enhancement time is 0.58 s, and the practical application effect is good.
Automatic posture capture of sports movement based on sensor information fusion
Authors: Qie Yushi , Xie Zhicheng , Ren Shanchang
Published: October 2022

Aiming at the problems of low accuracy and long time consumption of motion attitude information collection in the existing methods, a new automatic attitude capture method based on sensor information fusion is proposed. The line builds a motion attitude information acquisition architecture through five functional modules, including data acquisition and processing, laser sensor, data storage, voltage conversion and serial communication, to obtain motion attitude data. Then, the sensor image information collected by median filtering is processed, and the target image is obtained by fusing the binary image obtained by optical flow segmentation with the original image. Finally, the Mean-Shfit algorithm and particle filter are used to track the human moving target, and the self-similar matrix is used to automatically capture the motion posture. Experiments show that the method has high recall and accuracy for the collection results of motion attitude information, the accuracy rate of automatic motion attitude capture is as high as 95.5%, the maximum capture time is 79 ms, the time consumption is short, and the practical application effect is good.
Modeling analysis of UAV communication cyclostationary signal based on virtual reality
Authors: Fan Yu
Published: October 2022

In order to reduce the redundancy of the analysis process of UAV communication cyclostationary signal, a modeling and analysis method of UAV communication cyclostationary signal based on virtual reality technology is proposed. Using the VR technology, the 3D scene of UAV flight is reconstructed, and the mutual information and correlation dimension are obtained. Using the maximum negative entropy FastICA algorithm and non-cyclic stationary signal processing algorithm, the anti-jamming model of cyclic stationary signal processing is established by analyzing the signal compression performance and time delay of pseudo-random sequence. The experimental results show that there is no obvious signal fluctuation in the time domain of the oscillation signal and the reconstruction results of the oscillation signal, and the amplitude fluctuation is not large.
LightMobileBert: A secondary lightweight model based on MobileBert
Authors: Chen Deguang , Zhou Jie
Published: October 2022

MobileBert is a generic lightweight model suffering from a large network depth and parameter cardinality. Therefore, this paper proposes a secondary lightweight model entitled LightMobileBert, which retains the bottom 12 Transformers structure of the pre-trained MobileBert and utilizes the tensor decomposition technique to process the model to skip pre-training and further reduce the parameters. At the same time, the joint loss function is constructed based on the improved Supervised Contrastive Learning loss function and the Cross-Entropy loss function to improve performance and stability. Finally, the LMBert_Adam optimizer, an improved Bert_Adam optimizer, is used to optimize the model. The experimental results demonstrate that LightMobileBert has a comparatively higher performance than MobileBert and other popular models while requiring 57% fewer network parameters than MobileBert, confirming that LightMobileBert retains a higher performance while being lightweight.
Design and analysis of routing algorithm with energy efficiency based on clustering and backwards in IoT system
Authors: Zhigang Zhang , Chunmeng Lu , Bei Lu
Published: October 2022

One of the biggest challenges for Internet of Things (IoT) systems is traffic congestion in large networks. For this reason, the bandwidth should be increased in such systems. In addition, the issue of routing is raised in sending packets from the origin to the destination. Therefore, if there are many IoT devices in the network, it will increase the traffic, which makes faultless routing important in these networks. In this paper, a novel routing method based on Routing Protocol for Low-Power (RPL) is presented to minimize the energy consumption of the Internet of Things. Using the backward method based on the A* method to reduce energy consumption in a large graph, promising nodes are selected. A coordinate node is used to manage packets and transfer them. The selection of the coordinator node helps to receive packets with less energy and less delay from its neighbors, and the head node selects the best coordinator node with the shortest distance and the highest residual energy. The proposed method improves the energy consumption criteria, the delay between nodes, and the network overhead criterion by considering the estimated energy to the destination with the A* method.
Acquired amputations in patients with spina bifida
Authors: Deshpande Supreet , Gormley Caroline , Gormley Mark E
Published: October 2022

PURPOSE: The purpose of this study was to assess if the incidence of lower extremity (LE) pressure injuries resulting in amputations was more frequent in ambulatory versus non-ambulatory patients with spina bifida. METHODS: The medical records of all patients at a large pediatric rehabilitation hospital who had spina bifida and a history of a pressure injury between 1997–2018 were retrospectively reviewed. RESULTS: In this study, 112 patients with spina bifida developed LE pressure injuries, 53 patients walked with braces and/or an assistive device, and 59 patients used a wheelchair for mobility. Of the 11 patients who had amputations, 10 walked and 1 did not walk prior to their amputation. Ambulatory patients with LE pressure injuries had a 19% chance (10 out of 53 patients) of requiring an amputation. Non-ambulatory patients with a LE pressure injury had only a 2% chance (1 out of 59 patients) of requiring an amputation. Ambulatory patients with LE pressure injuries were at a much higher risk of requiring an amputation than patients who did not walk (p-value of < 0.005). CONCLUSION: Patients with spina bifida who are ambulatory and develop a pressure injury have a high risk of ultimately needing an amputation and should be monitored and treated aggressively.
Effect of the Cognitive Orientation to daily Occupational Performance (CO-OP) approach for children with cerebral palsy: A randomized controlled trial
Authors: Kolit Zeynep , Ekici Gamze
Published: October 2022

PURPOSE: The study aimed to examine the effects of “Cognitive Orientation to daily Occupational Performance” (CO-OP) approach in terms of performance and satisfaction as well as functional status in children with cerebral palsy (CP) receiving neurodevelopmental treatment (NDT) and determine the parents’ satisfaction level. METHODS: Thirty-two children with CP were randomized to experimental (n = 16) or control (n = 16) groups, with n = 2 dropouts. Therapy was applied twice a week for five weeks. The experimental group received a CO-OP plus NDT, while the control group received only NDT. RESULTS: No baseline differences existed, except for years of schooling, which was higher in the experimental group. After treatment, there were statistically significant and clinically meaningful improvements in occupational performance and function, favouring children who received 5-weeks of CO-OP plus NDT over NDT alone (p < 0.05). CONCLUSION: CO-OP is expected to be beneficial if incorporated into CP rehabilitation.
Interpolation of DHS survey data at subnational administrative level 2
Authors: Mayala Benjamin K. , Donohue Rose E. , Dontamsetti Trinadh , Fish Thomas D. , Croft Trevor N.
Published: October 2022

Over the last several years and within the framework of the Sustainable Development Goals, there has been a need to improve the measurement and understanding of local geographic patterns to support more decentralized decision-making and more efficient program implementation. This requires more disaggregated data that are not currently available in a nationally representative household survey. This study explores the potential of model-based geostatistics methodology to model DHS survey indicators. We implement a stacked ensemble modeling approach that combines multiple model algorithmic methods to increase predictive validity relative to a single modeling. The approach captures potentially complex interactions and non-linear effects among the geospatial covariates. Three submodels are fitted to six DHS indicator survey data using the geospatial covariates as exploratory predictors. The model prediction surfaces generated from the submodels are used as covariates in the final Bayesian geostatistical model, which is implemented through a stochastic partial differential equation approach in the integrated nested Laplace approximations. The proposed approach can help to inform the allocation of resources and program implementation in areas that need more attention. Countries can use this approach to model other DHS survey indicators at much smaller spatial scales.
Predicting the quality and evaluating the use of administrative data for the 2021 Canadian Census of Population
Authors: Lundy Erin R.
Published: October 2022

This paper presents the statistical contingency plan for the 2021 Canadian Census of Population, developed in response to the COVID-19 pandemic, wherein administrative data was to impute non-responding households in areas with a low response rate and where the administrative data were of sufficient quality. We describe the modeling approach for predicting the quality of data available for administrative households, including important extensions to existing approaches. As well, we provide a framework for evaluating direct imputation using administrative data, relative to traditional donor imputation, in the absence of a simulation study. We conclude by discussing the evaluation using preliminary data and subsequent implementation for the 2021 Canadian Census of Population.
Severity detection of COVID-19 infection with machine learning of clinical records and CT images
Authors: Zhu Fubao , Zhu Zelin , Zhang Yijun , Zhu Hanlei , Gao Zhengyuan , Liu Xiaoman , Zhou Guanbin , Xu Yan , Shan Fei
Published: October 2022

BACKGROUND: Coronavirus disease 2019 (COVID-19) is a deadly viral infection spreading rapidly around the world since its outbreak in 2019. In the worst case a patient’s organ may fail leading to death. Therefore, early diagnosis is crucial to provide patients with adequate and effective treatment. OBJECTIVE: This paper aims to build machine learning prediction models to automatically diagnose COVID-19 severity with clinical and computed tomography (CT) radiomics features. METHOD: P-V-Net was used to segment the lung parenchyma and then radiomics was used to extract CT radiomics features from the segmented lung parenchyma regions. Over-sampling, under-sampling, and a combination of over- and under-sampling methods were used to solve the data imbalance problem. RandomForest was used to screen out the optimal number of features. Eight different machine learning classification algorithms were used to analyze the data. RESULTS: The experimental results showed that the COVID-19 mild-severe prediction model trained with clinical and CT radiomics features had the best prediction results. The accuracy of the GBDT classifier was 0.931, the ROUAUC 0.942, and the AUCPRC 0.694, which indicated it was better than other classifiers. CONCLUSION: This study can help clinicians identify patients at risk of severe COVID-19 deterioration early on and provide some treatment for these patients as soon as possible. It can also assist physicians in prognostic efficacy assessment and decision making.
An adaptive beamformer based on dynamic phase coherence factor for pixel-based medical ultrasound imaging
Authors: Wang Yadan , Zheng Chichao , Wang Yuanguo , Feng Shuai , Liu Mingzhou , Peng Hu
Published: October 2022

BACKGROUND: Pixel-based beamforming realizes dynamic focusing at the pixel level with a focused beam by assuming that the received signals are composed of spherical pulses. Far-focused pixel-based (FPB) imaging was proposed to avoid artifacts around the focal depth. However, the contrast improvement is limited. OBJECTIVE: We propose an adaptive weighting method based on dynamic phase coherence factor (DPCF) to improve the image contrast while preserving the speckle pattern. METHODS: The phase variation is dynamically estimated based on the noise energy proportion of echo signals and it is used to calculate phase coherence weights for suppressing interference and preserving desired signals. A depth-dependent parameter is designed for DPCF to enhance the performance of noise and clutter suppression in the far-field region. We further use the subarray averaging technique to smooth the speckle texture. RESULTS: The proposed method was evaluated on simulated, phantom experimental, and in vivo data. Results show that, compared with the phase coherence factor (PCF) based method, DPCF respectively leads to average CR improvements by more than 60% and 24% in simulation and experiment, while obtaining an improved speckle signal-to-noise ratio. CONCLUSIONS: The proposed method is a potentially valuable approach to obtaining high-quality ultrasound images in clinical applications.
Impact of climate change on occupational health and safety: A review of methodological approaches
Authors: Ferrari Guilherme Neto , Leal Gislaine Camila Lapasini , Thom de Souza Rodrigo Clemente , Galdamez Edwin Vladimir Cardoza
Published: October 2022

BACKGROUND: The working population is exposed daily to unavoidable climatic conditions due to their occupational settings. Effects of the weather such as rain, heat, and air pollution may increase the risk of diseases, injuries, accidents, and even death during labor. OBJECTIVE: This paper aims to summarize the impacts of climate change on workers’ health, safety and performance, identifying the risks, affected workplaces and the range of methodological approaches used to assess this problem. METHODS: A thorough systematic mapping was conducted in seven scientific international databases: Emerald, IEEE Xplore, Science Direct, Scielo, Scopus, SpringerLink, and Web of Science. Three research questions guided the extraction process resulting in 170 articles regarding the impacts of climate change on occupational health and safety. RESULTS: We found an accentuated trend in observational studies applying primary and secondary data collection. Many studies focused on the association between rising temperatures and occupational hazards, mainly in outdoor work settings such as agriculture. The variation of temperature was the most investigated impact of climate change. CONCLUSIONS: We established a knowledge base on how to explore the impacts of climate change on workers’ well-being and health. Researchers and policymakers benefit from this review, which explores the suitable methods found in the literature and highlights the most recurring risks and their consequences to occupational health and safety.
Nurses’ assessed self-efficacy levels to medical asepsis and their relation to structural empowerment, work engagement and work-related stress
Authors: Arvidsson Lisa , Skytt Bernice , Lindberg Maria , Lindberg Magnus
Published: October 2022

BACKGROUND: Nurses’ working conditions are important for their well-being at work and for their ability to provide patients with safe care. Self-efficacy can influence employees’ behaviour at work. Therefore, it is valuable to study self-efficacy levels to medical asepsis in relation to working conditions. OBJECTIVE: To investigate the relationship between nurses’ assessed self-efficacy levels to medical asepsis in care situations and structural empowerment, work engagement and work-related stress. METHODS: A cross-sectional study with a correlational design was conducted. A total of 417 registered nurses and licensed practical nurses at surgical and orthopaedic units responded to a questionnaire containing: the Infection Prevention Appraisal Scale, the Conditions of Work Effectiveness Questionnaire-II, the Utrecht Work Engagement Scale-9 and the Health & Safety Executive Management Standards Indicator Tool. Correlational analyses and group comparisons were performed. RESULTS: The nurses rated high levels of self-efficacy to medical asepsis in care situations. The correlational analyses revealed that correlation coefficients between structural empowerment, work engagement, work-related stress and self-efficacy to medical asepsis were 0.254–0.268. Significant differences in self-efficacy were found in the grouped working conditions. CONCLUSIONS: This study revealed that nurses rated high self-efficacy levels to medical asepsis and, to some extent, this seemed related to structural empowerment, work engagement and work-related stress. This valuable knowledge could enable improvements at the managerial and organisational levels, benefiting both nurses and patients in the long run.
Calling as a resource for health and occupational wellbeing among the care sector workers in Finland
Authors: Hult Marja , Saaranen Terhi , Lindström Petra Nilsson
Published: October 2022

BACKGROUND: The salutogenic approach in workplace health promotion emphasizes resources to gain and maintain good health and wellbeing. One of these resources could be calling, but its relation to the salutogenic approach is unknown. OBJECTIVE: To explore the associations between salutogenic measures of health and occupational wellbeing and calling among workers from the care and educational sectors. METHODS: A cross-sectional survey was conducted in Autumn 2020 among Finnish public and private sector care workers. A total of 7925 workers responded. Descriptive analyses and analysis of variance were used for the data analysis. RESULTS: Salutogenic measures of health and occupational wellbeing correlated strongly mutually, and both correlated moderately with calling. Workers aged over 55 years, workers acting in the education sector, workers with superior positions and temporary workers had the highest scores on health, occupational wellbeing and calling. When comparing occupational wellbeing dimensions by profession, managers had the highest scores and nurses the lowest. CONCLUSIONS: This study provides knowledge of promotive factors and health and occupational wellbeing resources for workplace health promotion in the care sector. Perceived calling in work can be considered a salutogenic resource for overall health and wellbeing; however, these connections should be further studied.
Alianzas y asociatividad para el logro de los ODS en El Salvador: una perspectiva desde los gobiernos locales
Authors: Pérez-Hernández Lisandro , Caballer-Miedes Antonio
Published: October 2022

Este artículo analiza la importancia que los gobiernos locales salvadoreños identifican en las alianzas y procesos de asociatividad como un mecanismo para el cumplimiento de la Agenda 2030 de Desarrollo Sostenible con relación a cuatro variables: a) planificación municipal, b) asociaciones y entidades descentralizadas, c) acuerdos con el sector privado y d) colaboración con instituciones del Estado. El estudio realiza un análisis de asociación estadística de municipalidades salvadoreñas (n = 257) y permite extrapolar resultados concretos a fin de caracterizar condiciones existentes en los territorios, los cuales revelan potencialidades y desafíos en la gestión de los procesos de desarrollo territorial. Con base en su desarrollo, el estudio propone mejoras en la gestión técnica y administrativa en el interior de las municipalidades salvadoreñas para potenciar las alianzas existentes entre actores públicos y privados como esfuerzos complementarios en la generación de sinergias y la promoción de resultados compartidos.
Doveweed (Murdannia nudiflora) Control in Warm-Season Turfgrass Species
Authors: Leon Ramon G. , Unruh J. Bryan
Published: October 2022

Doveweed is an aggressive, naturalized summer annual weed that rapidly invades warm-season turfgrass species, especially in residential lawns, and few herbicides can effectively control it. Because of these challenges, a well-designed management strategy is necessary for doveweed control. This 4-page fact sheet describes identification, growth requirements, chemical control and cultural practices. Written by Ramon G. Leon and Bryan Unruh, and published by the UF Department of Agronomy, June 2015.
Weed Management in Sesame
Authors: Ferrell Jason , Leon Ramon
Published: October 2022

Sesame is a promising new crop for Florida, but few herbicides have been registered for it as yet. This 2-page fact sheet provides weed-control strategies for sesame. Written by Jason Ferrell and Ramon Leon, and published by the UF Department of Agronomy, June 2015. (Photo credit: Doug Mayo)

SS-AGR-392/AG396: Weed Management in Sesame (ufl.edu)